Neural Network Data Analysis Using Simulnet™ (Science) - Hardcover

Rzempoluck, Edward J.

Hardcover

ISBN 10: 0387982558 ISBN 13: 9780387982557

Publisher: Springer, 1997

Synopsis

This book and sofwtare package provide a complement to the traditional data analysis tools already widely available. It presents an introduction to the analysis of data using neural networks. Neural network functions discussed include multilayer feed-forward networks using error back propagation, genetic algorithm-neural network hybrids, generalized regression neural networks, learning quantizer networks, and self-organizing 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: these include genetic algorithms, probabilistic networks, as well as a number of related techniques that support these - notably, fractal dimension analysis, coherence analysis, and mutual information analysis. The text presents a number of worked examples and case studies using Simulnet, the software package which comes with the book. Readers are assumed to have a basic understanding of computers and elementary mathematics. With this background, a reader will find themselves quickly conducting sophisticated hands-on analyses of data sets.

Edition details

• Publisher: Springer
• Publication date: 1997
• Language: English
• ISBN 10: 0387982558
• ISBN 13: 9780387982557
• Binding: Hardcover
• Number of pages: 234