This book and sofwtare package provide a complement to the traditional data analysis tools already widely available. 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 neural networks, genetic algorithms, probabilistic networks. The text presents a number of worked examples and case studies using Simulnet, the software package which comes with the book.
I found this book to present a straightforward look into the complex world of neural networks. It is ideal for someone with little or no background in the subject yet covers sophisticated techniques as well. There were plenty of diagrams and many practical examples of how to use neural networks in the "real world." The software presents some challenges, however, given it predates Windows 98 and 2000. It seems to only work with US regional settings. Nevertheless, I was able to get it up and running and enjoyed the several examples and exercises described in the book. Overall, nicely written, an excellent introduction to the subject, and a good value.
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