Neural Networks : an Introductory Guide for Social Scientists.

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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Garson, G. David
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Sage Publications, 1998.
Colección:New Technologies for Social Research Series.
Temas:
Neural networks (Computer science)
Social sciences > Mathematical models.
Social sciences > Data processing.
Neural Networks, Computer
Réseaux neuronaux (Informatique)
Sciences sociales > Modèles mathématiques.
Sciences sociales > Informatique.
COMPUTERS > Neural Networks.
Social sciences > Data processing
Social sciences > Mathematical models
Neuronales Netz
Sozialwissenschaften
Neurale netwerken.
Sociaal-wetenschappelijk onderzoek.
Réseaux neuronaux (informatique)
Sciences sociales > Analyse de réseau.
Acceso en línea:Texto completo
Descripción
Sumario: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 lea.
Descripción Física:1 online resource (201 pages)
ISBN:9780857026279
0857026275

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