Neural Network Paradigms
2009
This chapter contains sections titled: McCulloch-Pitts Model The Perceptron Adaline and Madaline Models Winner-Takes-All Learning Algorithm Back-Propagation Learning Algorithm Cerebellum Model Articulation Controller (CMAC) Adaptive Resonance Theory (ART) Paradigm Hopfield Model Competitive Learning Model Memory-Type Paradigms Linear Associative Memory (LAM) Real-Time Models Linear Vector Quantization (LVQ) Self-Organizing Map (SOM) Probabilistic Neural Network (PNN) Radial Basis Function (RBF) Time-Delay Neural Net (TDNN) Cognitron and Neocognitron Models Simulated Annealing Boltzmann Machine Other Paradigms Review Questions References