Neural networks have influenced many areas of research but have only just started to be utilized in social science research. Neural Networks provides the first accessible introduction to this analysis as a powerful method for social scientists. It provides numerous studies and examples that illustrate the advantages of neural network analysis over other quantitative and modeling methods in wide-spread use among social scientists. The author, G. David Garson, presents the methods in an accessible style for the reader who does not have a background in computer science. Features include an introduction to the vocabulary and framework of neural networks, a concise history of neural network methods, a substantial review of the literature, detailed neural network applications in the social sciences, coverage of the most common alternative neural network models, methodological considerations in applying neural networks, examples using the two leading software packages for neural network analysis, and numerous illustrations and diagrams. This introductory guide to using neural networks in the social sciences will enable students, researchers, and professionals to utilize these important new methods in their research and analysis.
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Editorial Reviews
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`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
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
5
books
cite this book:
- Cluster Analysis by Brian S. Everitt on page 172, and Back Matter
- BCA: Business Case Analysis by James W. Brannock on page 272, and Back Matter
- Simulation for the Social Scientist by G. Nigel Gilbert in Back Matter
- Programming for Peace: Computer-Aided Methods for International Conflict Resolution and Prevention (Advances in Group Decision and Negotiation) (English and English Edition) by Robert Trappl on page 223
- Essential Skills for Management Research by David Partington on page 116
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