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This book provides the first accessible introduction to neural network analysis as a methodological strategy for social scientists. The author details numerous studies and examples which illustrate the advantages of neural network analysis over other quantitative and modelling methods in widespread use. Methods are presented in an accessible style for readers who do not have a background in computer science. The book provides a history of neural network methods, a substantial review of the literature, detailed applications, coverage of the most common alternative models and examples of two leading software packages for neural network analysis.
- Published on: 1998-09-24
- Released on: 2010-05-01
- Format: Kindle eBook
Review
`Garson's book would be a good buy for someone setting out to apply neural networks to their data. It takes a balanced approach, trying to make it clear where they would be applicable and where traditional statisitcs might be a better bet. It is certainly easy to read' - British Journal of Mathematical and Statisistical Psychology
`A useful reference source for terminology, mathematical background, possible application areas and pointers towards software use' - Statistical Methods in Medical Research
About the Author
G David Garson is Full Professor of Political Science at North Carolina State University
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