Neural Network Data Analysis Using Simulnet (TM) (Paperback)
  • Neural Network Data Analysis Using Simulnet (TM) (Paperback)
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Neural Network Data Analysis Using Simulnet ™ (Paperback)

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£54.99
Paperback 226 Pages / Published: 19/04/2013
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This book and software package complements the traditional data analysis tools already widely available. It presents an introduction to the analysis of data using neural network functions such as multilayer feed-forward networks using error back propagation, genetic algorithm-neural network hybrids, generalised regression neural networks, learning quantizer networks, and self-organising feature maps. In an easy-to-use, Windows-based environment it offers a wide range of data analytic tools which are not usually found together: genetic algorithms, probabilistic networks, as well as a number of related techniques that support these. Readers are assumed to have a basic understanding of computers and elementary mathematics, allowing them to quickly conduct sophisticated hands-on analyses of data sets.

Publisher: Springer-Verlag New York Inc.
ISBN: 9781461272625
Number of pages: 226
Weight: 600 g
Dimensions: 280 x 210 x 13 mm
Edition: Softcover reprint of the original 1st ed. 199

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