6.1 Neutral Network As stochastic Gradient system Decode Feedforward Feedback Gradient descent LMS Recurrent BackPropagation BackPropagation R t Learing RABAM Vetor Quantization Brownian annealing Boltzmann learning Self-Organization Maps ABAM ART-2 Counter-propagation BAM-Cohen-Grossberg Model ople cUI Brain-State-In-A-Box Masking field Adaptive-R ART-2 Neural Net Work taxonomy 2003.11.192003.11.19 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