6.1 Neutral Network As Stochastic Gradient system Decode Feedforward Feedback Gradient descent LMS Recurrent BackPropagation BackPropagation Reinforcement Learing C∽=Qh>H∽aa RABAM Vetor Quantization Brownian annealing Boltzmann learning Self-Organization Maps rsooo ABAM Competitve learning ART-2 Counter-propagation BAM-Cohen-Grossberg Model Hopfield circuit Brain-State-In-A-Box Masking field ○二∽台QaDs>H∽qG Adaptive-Resonance ART-1 ART-2 Neural NetWork Taxonomy 2003.11.19 32003.11.19 3 6.1 Neutral Network As Stochastic Gradient system Gradient descent LMS BackPropagation Reinforcement Learing Recurrent BackPropagation Vetor Quantization Self-Organization Maps Competitve learning Counter-propagation RABAM Brownian annealing Boltzmann learning ABAM ART-2 BAM-Cohen-Grossberg Model Hopfield circuit Brain-State-In-A-Box Masking field Adaptive-Resonance ART-1 ART-2 Feedforward Feedback Decode S u p e r v i s e d U n s u p e r v i s e d E n c o d e Neural NetWork Taxonomy