Kniha Neural Network Data Analysis Using Simulnet (TM) Edward J. Rzempoluck

Neural Network Data Analysis Using Simulnet (TM)

Jazyk: Angličtina
Väzba: Brožovaná
Dostupnosť: Skladom u dodávateľa
Odosielame za 5-8 dní
49.00
This book and software package complements the traditional data analysis tools already widely availa...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2013
Stránok
226
EAN
9781461272625
ISBN
1461272629
Enbook ID
02174482
Hmotnosť
600
Rozmery
210 x 280 x 14

Kompletný 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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