Neural Network Data Analysis Using Simulnet (TM)

Name: Neural Network Data Analysis Using Simulnet (TM)
Brand: Springer-Verlag New York Inc.
SKU: 9781461272625
Price: 1120 CZK
Availability: InStock

Autor: Edward J. Rzempoluck

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer-Verlag New York Inc.

Dostupnost: Skladem u dodavatele

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1 120 Kč

This book and software package complements the traditional data analysis tools already widely availa...

Informace o knize

Autor

Edward J. Rzempoluck

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2013

Stránek

226

EAN

9781461272625

ISBN

1461272629

Enbook ID

02174482

Vydavatel

Springer-Verlag New York Inc.

Hmotnost

600

Rozměry

210 x 280 x 14

Kompletní popis

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.

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Neural Network Data Analysis Using Simulnet (TM)

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