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What Can You Do with a Neural Network?
What and Why?
A Brief History of Neural Networks
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adaptive algorithms analog applications approach architecture artificial intelligence artificial neural networks back propagation Bernard Widrow biological brain cell chapter chip classify Colin Johnson complex connections conventional computers DARPA DARPA Neural Network desired output diskette dynamic Electronic Engineering Equation error example expert systems figure hardware Hebbian Hecht-Nielsen hidden layer hologram Hopfield human IEEE implementations input data input layer intelligence interconnections International issue Kohonen learning rule machines mathematical methods neural nets neural network software Neural Network Study neural network technology Neurocomputers neurons nodes nonlinear optical output layer paradigms parallel pattern recognition Perceptron pixel possible predict problems processing elements processors Robert Hecht-Nielsen robots self-organizing sensors sigmoid function signals simulation solve specific speech recognition speed statistical tasks techniques test set Texas Instruments tions training set transfer function unsupervised learning weights Yes Yes Yes