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NeuroSolutions     Level Summary Topologies               Multilayer Perceptron (MLP)   Generalized Feedforward Network   Modular Network     Jordan / Elman Networks     Self-Organizing Map (SOM)     Principal Component Analysis (PCA)     Radial Basis Function (RBF)     Probabilistic Neural Network (PNN)     General Regression Neural Network (GRNN)     Neuro-Fuzzy Network (CANFIS)     Support Vector Machine Network     Hopfield Network       Time Delay Neural Network (TDNN)       Time-Lag Recurrent Network (TLRN)       General Recurrent Network       Maximum Number of Inputs / Outputs / Neurons Per Layer 50 500 Unlimited Maximum Number of Hidden Layers   2 6 Unlimited Learning Paradigms               Backpropagation   Unsupervised Learning        • Hebbian              • Ojas               • Sangers      • Competitive        • Kohonen   Recurrent Backpropagation