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Machine Learning Techniques for Equalizing Nonlinear Distortion
Connectionist Models of Cognition Michael S. C. Thomas and James L
Teaching Note Systems Theory and Management Control1 By: Dr
Quantum Cybernetics and Complex Quantum Systems Science-A
Some Comments on Cybernetics and Control
Cybernetics Feedback Netgraft in Architecture
Bridging Connectionism and Relational Cognition Through Bi-Directional Affective- Associative Processing
Connectionism and the Dynamical Approach to Cognition 235 8 Connectionism and the Dynamical Approach to Cognition
Neural-Symbolic Integration
Mermillod-Current Challenge in Computational Neuroscience
Conant & Ashby (1970)
Machine Learning Techniques for Equalizing Nonlinear Distortion
Emergence of Intrinsic Representations of Images by Feedforward and Feedback Processes and Bioluminescent Photons in Early Retinotopic Areas
12, September 28, 1981
Marshall Mcluhan's General System Thinking and Media Ecology Robert K
On the Proper Treatment of Connectionism
State-Of-Charge Estimation of a Li-Ion Battery Using Deep Forward Neural Networks
Feedforward, I. A. Richards, Cybernetics and Marshall Mcluhan
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