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, озцгэ 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.  RealbasISBN 0387982558.