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Neural Network Data Analysis Using Simulnet (TM)

Language EnglishEnglish
Book Paperback
Book Neural Network Data Analysis Using Simulnet (TM) Edward J. Rzempoluck
Libristo code: 02174482
Publishers Springer-Verlag New York Inc., April 2013
This book and software package complements the traditional data analysis tools already widely availa... Full description
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50.64 €
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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.

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About the book

Full name Neural Network Data Analysis Using Simulnet (TM)
Author Edward J. Rzempoluck
Language English
Binding Book - Paperback
Date of issue 2013
Number of pages 226
EAN 9781461272625
ISBN 1461272629
Libristo code 02174482
Publishers Springer-Verlag New York Inc.
Weight 600
Dimensions 210 x 280 x 14

Categories

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Computing & Information Technology > Computer science > Artificial intelligence > Neural networks & fuzzy systems
Mathematics & Science > Mathematics > Probability & statistics
Computing & Information Technology > Computer programming / software engineering > Database programming
Computing & Information Technology > Databases
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