Neural Networks - A Systematic Introduction

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This book covers the following topics: The biological paradigm, Threshold logic, Weighted Networks, The Perceptron, Perceptron learning, Unsupervised learning and clustering algorithms, One and two layered networks, The back-propagation algorithm, Fast learning algorithms, Statistics and Neural Networks, The complexity of learning, Fuzzy Logic, Associative Networks, The Hopfield Model, Stochastic networks, Kohonen networks, Genetic Algorithms, and Hardware for neural networks.

Raul Rojas

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Machine Learning | Neural Networks |

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Added	06 Feb 2009
Updated	06 Feb 2009
Authors	Raul Rojas

Every chapter can be downloaded from here.

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Neural Networks - A Systematic Introduction

Machine Learning | Neural Networks |

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