Neural Networks - A Systematic Introduction

12 years 4 months ago
Neural Networks - A Systematic Introduction
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
Added 06 Feb 2009
Updated 06 Feb 2009
Authors Raul Rojas
 Every chapter can be downloaded from here.
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