{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:2BOU4N5EZYBVIRQMTYVS4FBUZL","short_pith_number":"pith:2BOU4N5E","schema_version":"1.0","canonical_sha256":"d05d4e37a4ce0354460c9e2b2e1434caf3500a48a96e7dd2a9313a94752c31dd","source":{"kind":"arxiv","id":"2001.01686","version":1},"attestation_state":"computed","paper":{"title":"A Deep Neuro-Fuzzy Network for Image Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"cs.NE","authors_text":"Omolbanin Yazdanbakhsh, Scott Dick","submitted_at":"2019-12-22T03:28:05Z","abstract_excerpt":"The combination of neural network and fuzzy systems into neuro-fuzzy systems integrates fuzzy reasoning rules into the connectionist networks. However, the existing neuro-fuzzy systems are developed under shallow structures having lower generalization capacity. We propose the first end-to-end deep neuro-fuzzy network and investigate its application for image classification. Two new operations are developed based on definitions of Takagi-Sugeno-Kang (TSK) fuzzy model namely fuzzy inference operation and fuzzy pooling operations; stacks of these operations comprise the layers in this network. We"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2001.01686","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2019-12-22T03:28:05Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"b1d569ec725f071c54c1b450ac99b9a8df1764069c904e800e6cd6727c742477","abstract_canon_sha256":"4cddf84321d9c3542cc12b882e17871893d1cc6c66370f06f44d09305136ddb8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:29:49.127323Z","signature_b64":"gmv7KZ+YAbkFy5o7PoZzVYL6iOENQ/WXpUUt1AYbEKJWR5G6UCNBehW+aGSqkgXoVOnNYhbjXpYaJ5LhLzc5BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d05d4e37a4ce0354460c9e2b2e1434caf3500a48a96e7dd2a9313a94752c31dd","last_reissued_at":"2026-07-05T00:29:49.126909Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:29:49.126909Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Deep Neuro-Fuzzy Network for Image Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"cs.NE","authors_text":"Omolbanin Yazdanbakhsh, Scott Dick","submitted_at":"2019-12-22T03:28:05Z","abstract_excerpt":"The combination of neural network and fuzzy systems into neuro-fuzzy systems integrates fuzzy reasoning rules into the connectionist networks. However, the existing neuro-fuzzy systems are developed under shallow structures having lower generalization capacity. We propose the first end-to-end deep neuro-fuzzy network and investigate its application for image classification. Two new operations are developed based on definitions of Takagi-Sugeno-Kang (TSK) fuzzy model namely fuzzy inference operation and fuzzy pooling operations; stacks of these operations comprise the layers in this network. We"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2001.01686","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2001.01686/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2001.01686","created_at":"2026-07-05T00:29:49.126973+00:00"},{"alias_kind":"arxiv_version","alias_value":"2001.01686v1","created_at":"2026-07-05T00:29:49.126973+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2001.01686","created_at":"2026-07-05T00:29:49.126973+00:00"},{"alias_kind":"pith_short_12","alias_value":"2BOU4N5EZYBV","created_at":"2026-07-05T00:29:49.126973+00:00"},{"alias_kind":"pith_short_16","alias_value":"2BOU4N5EZYBVIRQM","created_at":"2026-07-05T00:29:49.126973+00:00"},{"alias_kind":"pith_short_8","alias_value":"2BOU4N5E","created_at":"2026-07-05T00:29:49.126973+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2506.11146","citing_title":"HQFNN: A Compact Quantum-Fuzzy Neural Network for Accurate Image Classification","ref_index":5,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/2BOU4N5EZYBVIRQMTYVS4FBUZL","json":"https://pith.science/pith/2BOU4N5EZYBVIRQMTYVS4FBUZL.json","graph_json":"https://pith.science/api/pith-number/2BOU4N5EZYBVIRQMTYVS4FBUZL/graph.json","events_json":"https://pith.science/api/pith-number/2BOU4N5EZYBVIRQMTYVS4FBUZL/events.json","paper":"https://pith.science/paper/2BOU4N5E"},"agent_actions":{"view_html":"https://pith.science/pith/2BOU4N5EZYBVIRQMTYVS4FBUZL","download_json":"https://pith.science/pith/2BOU4N5EZYBVIRQMTYVS4FBUZL.json","view_paper":"https://pith.science/paper/2BOU4N5E","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2001.01686&json=true","fetch_graph":"https://pith.science/api/pith-number/2BOU4N5EZYBVIRQMTYVS4FBUZL/graph.json","fetch_events":"https://pith.science/api/pith-number/2BOU4N5EZYBVIRQMTYVS4FBUZL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2BOU4N5EZYBVIRQMTYVS4FBUZL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2BOU4N5EZYBVIRQMTYVS4FBUZL/action/storage_attestation","attest_author":"https://pith.science/pith/2BOU4N5EZYBVIRQMTYVS4FBUZL/action/author_attestation","sign_citation":"https://pith.science/pith/2BOU4N5EZYBVIRQMTYVS4FBUZL/action/citation_signature","submit_replication":"https://pith.science/pith/2BOU4N5EZYBVIRQMTYVS4FBUZL/action/replication_record"}},"created_at":"2026-07-05T00:29:49.126973+00:00","updated_at":"2026-07-05T00:29:49.126973+00:00"}