1 option
Neural networks : an introductory guide for social scientists / G. David Garson.
- Format:
- Book
- Author/Creator:
- Garson, G. David.
- Series:
- New technologies for social research.
- New technologies for social research
- Language:
- English
- Subjects (All):
- Neural networks (Computer science).
- Social sciences--Mathematical models.
- Social sciences.
- Social sciences--Data processing.
- Genre:
- Libros electrónicos.
- Physical Description:
- 1 online resource (201 p.)
- Edition:
- 1st ed.
- Place of Publication:
- London ; Thousand Oaks, Calif. : Sage, 1998.
- Language Note:
- English
- Summary:
- 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.
- Contents:
- Cover; Table of Contents; 1 - Introduction to Neural Network Analysis; 2 - The Terminology of Neural Network Analysis; 3 - The Backpropogation Model; 4 - Alternative Network Paradigms; 5 - Methodological Considerations; 6 - Neural Network Software; 7 - Example: Analysing Census Data with Neural Connection; 8 - Conclusion; Notes; References; Index
- Notes:
- Description based upon print version of record.
- Includes bibliographical references (p. [169]-189) and index.
- Descripción basada en metadatos suministrados por el editor y otras fuentes.
- ISBN:
- 9786612623127
- 9781282623125
- 1282623125
- 9780857026279
- 0857026275
- OCLC:
- 638860793
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.