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035   $a(OCoLC)638860793
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100   $a19980710d1998      uy         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aNeural networks $ean introductory guide for social scientists /$fG. David Garson
205   $a1st ed.
210   $aLondon $cSage Publications$d1998
210  1$aLondon ;$aThousand Oaks, Calif. :$cSage,$d1998.
215   $a1 online resource (201 p.)
225 1 $aNew technologies for social research
300   $aDescription based upon print version of record.
311 08$a9780761957300 
311 08$a0761957308 
311 08$a9780761957317 
311 08$a0761957316 
320   $aIncludes bibliographical references (p. [169]-189) and index.
327   $aCover; 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
330   $aThis book provides the first accessible introduction to neural network analysis as a methodological strategy for social scientists. The author details numerous studies and examples which illustrate the advantages of neural network analysis over other quantitative and modelling methods in widespread use. Methods are presented in an accessible style.
410  0$aNew technologies for social research.
606   $aNeural networks (Computer science)
606   $aSocial sciences$xMathematical models
606   $aSocial sciences$xData processing
608   $aLibros electro?nicos.
615  0$aNeural networks (Computer science)
615  0$aSocial sciences$xMathematical models.
615  0$aSocial sciences$xData processing.
676   $a006.3/2
676   $a006.32
700   $aGarson$b G. David$0103474
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910965041103321
996   $aNeural networks$9897165
997   $aUNINA