Neural networks : an introductory guide for social scientists
Author(s)
Bibliographic Information
Neural networks : an introductory guide for social scientists
（New technologies for social research）
SAGE, 1998
- : [hardback]
- : pbk
Available at / 28 libraries
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Prefectural University of Hiroshima Library and Academic Information Center
007.1||G24||1022126
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
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.
Table of Contents
Introduction to Neural Network Analysis
The Terminology of Neural Network Analysis
The Backpropagation Model
Alternative Network Paradigms
Methodological Considerations
Neural Network Software
Example
Analysing Census Data with Neural Connection
Conclusion
by "Nielsen BookData"
