Java Demonstrations of Neural Networks

(Use a browser that supports Java)

·  Perceptron Learning Rule  

·  Principal Component Extraction via Various Hebbian-Type Rules  

·  Clustering via Simple Competitive Learning  

·  Backprop Trained Multilayer Perceptron for Function Approximation

    (Demonstrates generalization effects of early stopping of training)

·  Neural Nets for Control: The Ball Balancing Problem

·  Generalizations of the Hamming Associative Memory

·  The Extreme Point Machine (EPM)

    A note on Dr. Hassoun's PhD dissertation which included polynomial-type "SVM".