Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:46:49.593171Z
Paper Citation Record · LEDGER
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy
As of 20 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:1908.08339.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
54 of 54 outbound references displayed
- verified exact0
- verified fuzzy48
- unresolved6
- parse uncertain0
- malformed identifier0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 79e0937f-d12e-4712-a189-b5b672d011c4 · outbound
This paper cites an unresolved cited work.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:46:50.444141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 56745857-1b42-46b0-9fd3-dce735a665c9 · outbound
This paper cites an unresolved cited work.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Unresolved cited work
Reference 2
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c02cfb3c-bac3-41b6-937a-a98a756e17ea · outbound
This paper cites The remainder of this article is organized as follows.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy The remainder of this article is organized as follows
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:50.416075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 819872f8-5859-4103-b91d-7653892234f0 · outbound
This paper cites an unresolved cited work.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:46:50.401405Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 40dd3d38-54cf-44f8-ac23-6f97844e7cbe · outbound
This paper cites an unresolved cited work.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:46:50.387340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c0c9a000-150b-4a39-855a-2e1189680c4a · outbound
This paper cites All edge weights in an FCM can also be stored in a matrix format, that is, W = ⎡ ⎢⎢⎢⎣ w11 w12 ··· w1n w21 w22 ··· w2n.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy All edge weights in an FCM can also be stored in a matrix format, that is, W = ⎡ ⎢⎢⎢⎣ w11 w12 ··· w1n w21 w22 ··· w2n
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:50.373115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9e1d00fa-b55a-4195-8b38-e4cd634f0b0b · outbound
This paper cites an unresolved cited work.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:46:50.357905Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 87631b6e-0917-43e0-81f1-0ae1b2e2ee90 · outbound
This paper cites It is difficult to be accurately described by a single FCM.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy It is difficult to be accurately described by a single FCM
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:50.343496Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 565e33cb-da1c-45c5-85e5-aef340a705bb · outbound
This paper cites Fuzzy cognitive maps,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Fuzzy cognitive maps,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:50.328577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3349f4b4-ec65-4183-b922-9c9bc80eb27f · outbound
This paper cites Fuzzy cognitive maps in modeling supervisory control systems,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Fuzzy cognitive maps in modeling supervisory control systems,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:50.313759Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b20dc27e-9f4a-4c57-b195-a2331919a0b2 · outbound
This paper cites Fuzzy cognitive maps of public support for insurgency and terrorism,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Fuzzy cognitive maps of public support for insurgency and terrorism,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:50.298976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 56a5fd30-b22b-429f-88d1-06fc67770290 · outbound
This paper cites A software agent based simulation model for systems with decision units,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy A software agent based simulation model for systems with decision units,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:50.284200Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9bd7696c-0048-494c-87c6-d2c066ad789a · outbound
This paper cites Numerical and linguistic prediction of time series with the use of fuzzy cognitive maps,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Numerical and linguistic prediction of time series with the use of fuzzy cognitive maps,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:50.269173Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e5e3d750-0270-4eee-8958-a32288c8a129 · outbound
This paper cites Design of fuzzy cogni- tive maps for modeling time series,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Design of fuzzy cogni- tive maps for modeling time series,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:50.254410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 95b3f687-22be-4fec-a6dd-5b091fcc54ac · outbound
This paper cites Individual decision making can drive epidemics: A fuzzy cognitive map study,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Individual decision making can drive epidemics: A fuzzy cognitive map study,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:50.239229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1f8d4c03-4edc-4efe-a6e4-d4b0df69d035 · outbound
This paper cites Development of a decision making system for selection of dental implant abutments based on the fuzzy cognitive map,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Development of a decision making system for selection of dental implant abutments based on the fuzzy cognitive map,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:50.223476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 930b90de-7e77-4f48-b012-152fd319686f · outbound
This paper cites A decision system using fuzzy cognitive map and multi-group data envelopment analysis to esti- mate hospitals’ outputs level,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy A decision system using fuzzy cognitive map and multi-group data envelopment analysis to esti- mate hospitals’ outputs level,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:50.207985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 97566f7b-75a7-4d62-a311-bee5e1b2db14 · outbound
This paper cites Classifying mammography images by using fuzzy cognitive maps and a new segmentation algorithm,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Classifying mammography images by using fuzzy cognitive maps and a new segmentation algorithm,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:50.192377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 829d8955-6957-4dc2-8fcb-d35bf46774fd · outbound
This paper cites An extension to fuzzy cognitive maps for classification and prediction,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy An extension to fuzzy cognitive maps for classification and prediction,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:50.177365Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d7271a48-5450-4c1f-a690-c0fa90d512d2 · outbound
This paper cites Fuzzy cognitive maps based models for pattern classification: Advances and challenges,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Fuzzy cognitive maps based models for pattern classification: Advances and challenges,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:50.161179Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 32bf638c-6f93-463c-9534-4410bc5cbb15 · outbound
This paper cites Forecasting risk impact on ERP mainte- nance with augmented fuzzy cognitive maps,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Forecasting risk impact on ERP mainte- nance with augmented fuzzy cognitive maps,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:50.146301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7ade422e-daa6-4df0-adc4-5330bf4579d1 · outbound
This paper cites A new lightweight method for security risk assessment based on fuzzy cognitive maps,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy A new lightweight method for security risk assessment based on fuzzy cognitive maps,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:50.131631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ce91833e-b45e-4618-94f0-27a990b3d369 · outbound
This paper cites Fuzzy cognitive maps: Basic theories and their appli- cation to complex systems,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Fuzzy cognitive maps: Basic theories and their appli- cation to complex systems,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:50.115727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9b3e017e-4bcb-4b8c-86e8-c1de76997ff9 · outbound
This paper cites Learning algorithms for fuzzy cognitive maps—A review study,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Learning algorithms for fuzzy cognitive maps—A review study,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:50.099768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e7173e58-1507-40d9-820f-a2d57ab70062 · outbound
This paper cites Virtual worlds as fuzzy cognitive maps,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Virtual worlds as fuzzy cognitive maps,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:50.084180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f3ef6f32-94c3-4c8f-a0db-c0f006fbd190 · outbound
This paper cites Fuzzy cognitive map learning based on nonlinear Hebbian rule,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Fuzzy cognitive map learning based on nonlinear Hebbian rule,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:50.066471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0d57d4e1-1593-447b-96eb-997dacf55d57 · outbound
This paper cites Active Hebbian learning algorithm to train fuzzy cognitive maps,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Active Hebbian learning algorithm to train fuzzy cognitive maps,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:50.047768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation be6c08f4-d5c4-4c42-b92b-db0ac2805607 · outbound
This paper cites Data-driven nonlinear Hebbian learning method for fuzzy cognitive maps,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Data-driven nonlinear Hebbian learning method for fuzzy cognitive maps,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:50.030638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation db175270-6ffb-429d-980a-442cd6d71132 · outbound
This paper cites Learning fuzzy cognitive maps using evolution strategies: A novel schema for modeling and simulating high-level behavior,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Learning fuzzy cognitive maps using evolution strategies: A novel schema for modeling and simulating high-level behavior,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:50.014230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 481cc6af-8eb7-4157-aec4-cf40925a69f3 · outbound
This paper cites A first study of fuzzy cognitive maps learning using par- ticle swarm optimization,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy A first study of fuzzy cognitive maps learning using par- ticle swarm optimization,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:49.997196Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d6c5f118-0a49-425d-9e0d-aa585f709f03 · outbound
This paper cites Genetic learning of fuzzy cognitive maps,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Genetic learning of fuzzy cognitive maps,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:49.981862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 39089675-3dd4-4793-b7fa-dcadf750492f · outbound
This paper cites Optimization of fuzzy cogni- tive map model in clinical radiotherapy through differential evolution algorithm,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Optimization of fuzzy cogni- tive map model in clinical radiotherapy through differential evolution algorithm,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:49.967190Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8d628eff-5d32-47ee-8e80-9afdc552c7a7 · outbound
This paper cites Big bang—Big crunch learning method for fuzzy cognitive maps,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Big bang—Big crunch learning method for fuzzy cognitive maps,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:49.952374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d078a5f6-4a7e-4db2-841f-18c9c60a9a62 · outbound
This paper cites Fuzzy cogni- tive maps learning using artificial bee colony optimization,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Fuzzy cogni- tive maps learning using artificial bee colony optimization,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:49.936378Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation cdd5d5c5-c03f-424c-bdbc-37901aa0b46e · outbound
This paper cites Learning fuzzy cognitive maps using imperialist competitive algo- rithm,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Learning fuzzy cognitive maps using imperialist competitive algo- rithm,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:49.921223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 77b0fae2-c6b8-47bf-8bc9-1ca511548ddf · outbound
This paper cites Learning of fuzzy cogni- tive maps using density estimate,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Learning of fuzzy cogni- tive maps using density estimate,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:49.905359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f96fc1b5-2b7d-45c7-b127-b95f1d9f9cea · outbound
This paper cites Learning of sparse fuzzy cognitive maps using evo- lutionary algorithm with lasso initialization,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Learning of sparse fuzzy cognitive maps using evo- lutionary algorithm with lasso initialization,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:49.890126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d3ee68a3-83c3-4da0-92c4-72fea23b35df · outbound
This paper cites A mutual information-based two-phase memetic algorithm for large-scale fuzzy cognitive map learning,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy A mutual information-based two-phase memetic algorithm for large-scale fuzzy cognitive map learning,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:49.875333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation cd68df8e-3e1b-407a-be2c-2b88f1760d28 · outbound
This paper cites Inferring causal networks using fuzzy cognitive maps and evolutionary algorithms with application to gene regulatory network reconstruction,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Inferring causal networks using fuzzy cognitive maps and evolutionary algorithms with application to gene regulatory network reconstruction,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:49.860445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 84bbb446-5cbb-47a5-8f05-8a25a0ae702e · outbound
This paper cites A dynamic multiagent genetic algorithm for gene regulatory network reconstruction based on fuzzy cognitive maps,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy A dynamic multiagent genetic algorithm for gene regulatory network reconstruction based on fuzzy cognitive maps,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:49.845792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2edd7996-93fb-41cf-994b-0d93062d15ca · outbound
This paper cites A new hybrid learning algo- rithm for fuzzy cognitive maps learning,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy A new hybrid learning algo- rithm for fuzzy cognitive maps learning,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:49.830446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 094c963d-370b-4daa-b2fb-4ed2589844ad · outbound
This paper cites An integrated framework for learning fuzzy cognitive map using RCGA and NHL algorithm,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy An integrated framework for learning fuzzy cognitive map using RCGA and NHL algorithm,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:49.813746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b705aceb-cc9d-4554-adc7-0480d5d8f0ea · outbound
This paper cites Numerical dynamic modeling and data driven control via least square techniques and Hebbian learning algorithm,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Numerical dynamic modeling and data driven control via least square techniques and Hebbian learning algorithm,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:49.798282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 24dbc949-fbc9-49da-936f-f7f8ffd529e9 · outbound
This paper cites Hybrid learning of fuzzy cognitive maps for sugarcane yield classification,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Hybrid learning of fuzzy cognitive maps for sugarcane yield classification,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:49.783016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5c6ed925-fb3c-4283-a7ba-08ccbabb06ae · outbound
This paper cites The cognitive mapping approach to decision making,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy The cognitive mapping approach to decision making,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:49.767506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0eb926d7-2563-40ee-86cd-ebcc0f3f6539 · outbound
This paper cites The principle of maximum entropy,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy The principle of maximum entropy,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:49.753059Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4ac01368-d8fc-4a82-aec0-fd70c0814fe6 · outbound
This paper cites Boyd and L.
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:46:49.560353Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation abfc6fcb-c034-4ba4-9307-c40359ca9b8a · outbound
This paper cites Grant and S.
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:49.727386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1a9b0fc6-da51-404b-b3fb-2633756ff03e · outbound
This paper cites Learning fuzzy cognitive maps from data by ant colony optimization,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Learning fuzzy cognitive maps from data by ant colony optimization,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:49.711792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation bbabaef7-c997-4756-bebb-2f0c3c5f23fc · outbound
This paper cites The convergence of the random search method in the extremal control of a many parameter system,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy The convergence of the random search method in the extremal control of a many parameter system,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:49.695145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9c5e72b6-dfcb-4c40-9e20-0d22b9ccfb00 · outbound
This paper cites A divide and conquer method for learning large fuzzy cognitive maps,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy A divide and conquer method for learning large fuzzy cognitive maps,
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:49.678809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2a176dd8-c5db-4e68-b487-72a220714ac3 · outbound
This paper cites Application of fuzzy cognitive maps to factors affecting slurry rheology,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Application of fuzzy cognitive maps to factors affecting slurry rheology,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:49.662085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 82019cf4-c9da-467a-a68d-b7e4d172cfbf · outbound
This paper cites Fuzzy cognitive map modelling educational software adoption,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy Fuzzy cognitive map modelling educational software adoption,
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:49.646671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8481368b-e346-4d3a-afc1-9cdbfeedc4de · outbound
This paper cites DREAM4: Combining genetic and dynamic information to identify biological networks and dynamical models,.
The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy DREAM4: Combining genetic and dynamic information to identify biological networks and dynamical models,
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:46:49.631311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.