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Neural Network Data Analysis Using Simulnet

Neural Network Data Analysis Using Simulnet

Edward J. Rzempoluck

76,17 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2013
Materia
Probabilidad y estadística
ISBN:
9781461272625
76,17 €
IVA incluido
Disponible

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Sobre IBD

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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Otros libros del autor

  • Neural Network Data Analysis Using Simulnet [With CDROM]
    Edward J. Rzempoluck
    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 qua...