Coupled Arnold cat maps on circulant graphs exhibit constant Kolmogorov-Sinai entropy independent of connectivity due to translational symmetry.
(28) Zhong, Y.; Tang, J.; Li, X.; Gao, B.; Qian, H.; Wu, H., Dynamic memristor - based reservoir computing for high - efficiency temporal signal processing
5 Pith papers cite this work. Polarity classification is still indexing.
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OpenPRC provides a schema-driven framework with five modules for GPU physics simulation, experimental vision ingestion, reservoir learning, information analysis, and physics-aware optimization to enable consistent PRC evaluation from simulations and real experiments.
Spin wave-based physical reservoir computing achieves 85.8% speaker classification accuracy without cochleagram preprocessing.
Non-steady-state chemical charge transport dynamics integrated into reservoir computing enable waveform recognition, voice identification, and chaos prediction, with performance governed by frequency alignment that functions as a chemically-tuned band-pass filter.
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Coupled Arnol'd cat maps on circulant graphs
Coupled Arnold cat maps on circulant graphs exhibit constant Kolmogorov-Sinai entropy independent of connectivity due to translational symmetry.
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OpenPRC: A Unified Open-Source Framework for Physics-to-Task Evaluation in Physical Reservoir Computing
OpenPRC provides a schema-driven framework with five modules for GPU physics simulation, experimental vision ingestion, reservoir learning, information analysis, and physics-aware optimization to enable consistent PRC evaluation from simulations and real experiments.
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Spoken Digit Recognition and Speaker Classification by Nonlinear Interfered Spin Wave-Based Physical Reservoir Computing
Spin wave-based physical reservoir computing achieves 85.8% speaker classification accuracy without cochleagram preprocessing.
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Exploring Non-Steady-State Charge Transport Dynamics in Information Processing: Insights from Reservoir Computing
Non-steady-state chemical charge transport dynamics integrated into reservoir computing enable waveform recognition, voice identification, and chaos prediction, with performance governed by frequency alignment that functions as a chemically-tuned band-pass filter.
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