Chapter 6 Architecture and Equilibria 6.1 Neutral Network As Stochastic Gradient system Three stochastic gradient systems represent the three main categories: 1)Feedforward supervised neural networks trained with the backpropagation(BP)algorithm. 2)Feedforward unsupervised competitive learning or adaptive vector quantization(AVQ)networks 3)Feedback unsupervised random adaptive bidirectional associative memory(RABAM)networks. 2004.11.10 52004.11.10 5 Chapter 6 Architecture and Equilibria 6.1 Neutral Network As Stochastic Gradient system ▪ Three stochastic gradient systems represent the three main categories: 1)Feedforward supervised neural networks trained with the backpropagation(BP)algorithm. 2)Feedforward unsupervised competitive learning or adaptive vector quantization(AVQ)networks. 3)Feedback unsupervised random adaptive bidirectional associative memory(RABAM)networks