02845nam 2200709 a 450 991081592790332120240508010832.01-282-62312-597866126231270-85702-627-5(CKB)2560000000011422(EBL)537802(OCoLC)638860793(SSID)ssj0000423921(PQKBManifestationID)12209681(PQKBTitleCode)TC0000423921(PQKBWorkID)10439747(PQKB)10083990(MiAaPQ)EBC537802(Au-PeEL)EBL537802(CaPaEBR)ebr10392743(CaONFJC)MIL262312(OCoLC)929586982(FlNmELB)ELB130556(PPN)238401499(EXLCZ)99256000000001142219980710d1998 uy 0engur|n|---|||||txtccrNeural networks an introductory guide for social scientists /G. David Garson1st ed.London Sage Publications1998London ;Thousand Oaks, Calif. :Sage,1998.1 online resource (201 p.)New technologies for social researchDescription based upon print version of record.0-7619-5730-8 0-7619-5731-6 Includes bibliographical references (p. [169]-189) and index.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; IndexThis 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.New technologies for social research.Neural networks (Computer science)Social sciencesMathematical modelsSocial sciencesData processingLibros electrónicos.Neural networks (Computer science)Social sciencesMathematical models.Social sciencesData processing.006.3/2006.32Garson G. David103474MiAaPQMiAaPQMiAaPQBOOK9910815927903321Neural networks897165UNINA