Chapter 6 Architecture and Equilibria 6.1 Neutral Network As Stochastic Gradient system Decode Feedforward Feedback s三C刀 Gradiedescent LMS Recurrent BackPropagation BackPropagation =t可 Reinforcement Learing Vetor Quantization RABAM Broenian annealing Self-Organization Maps ABAM Competitve learning ART-2 Counter-propagation BAM-Cohen-Grossberg Model Hopfield circuit Brain-state-In Box Adaptive-Resonance ART-1 ART-2 2004.11.10 Neural NetWork Taxonomy2004.11.10 4 Chapter 6 Architecture and Equilibria 6.1 Neutral Network As Stochastic Gradient system Gradiedescent LMS BackPropagation Reinforcement Learing Recurrent BackPropagation Vetor Quantization Self-Organization Maps Competitve learning Counter-propagation RABAM Broenian annealing ABAM ART-2 BAM-Cohen-Grossberg Model Hopfield circuit Brain-state-In_Box Adaptive-Resonance ART-1 ART-2 Feedforward Feedback Decode d e s i v r e p u S d e s i v r e p u s n U e d o c n E Neural NetWork Taxonomy