You are here

Delays in shipping: Due to current delays in our warehouse shipping services, please expect longer than usual delivery times for any print book and journal orders. If you need access to content immediately, please consider ordering a digital product. We apologize for any inconvenience and thank you for your patience.

If you need further assistance please visit our Contact us page for further information. 

Neural Networks
Share
Share

Neural Networks



December 1998 | 96 pages | SAGE Publications, Inc

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 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.

have influenced many areas of research but have only just started to be utilized in social science research.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 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.

Learn more about "The Little Green Book" - QASS Series! Click Here



 
Introduction
 
The Perceptron
 
Linear Autoassociative Memories
 
Linear Heteroassociative Memories
 
Error Backpropagation
 
Useful References

Select a Purchasing Option


Paperback
ISBN: 9780761914402
$42.00

This title is also available on SAGE Research Methods, the ultimate digital methods library. If your library doesn’t have access, ask your librarian to start a trial.