Comments on Neural Networks

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dc.contributor.authorHAEJUNG PAIK
dc.date.accessioned2016-01-14T19:52:49Z
dc.date.accessioned2016-03-30T15:31:57Z
dc.date.available2016-01-14T19:52:49Z
dc.date.available2016-03-30T15:31:57Z
dc.date.issued2000-05-01
dc.description.abstractAlthough neural networks do offer a few advantages over some other nonlinear methods, in certain situations these advantages are difficult to utilize. However, many neural network applications in the social sciences are flawed in ways that obfuscate such effects. In this article, the neural network methodology is reviewed, some common flaws are pointed out, and a rather commonplace data set—dealing with school delinquency—is analyzed for illustrative purposes.en_US
dc.description.peerreviewYesen_US
dc.description.peerreviewnoteshttps://us.sagepub.com/en-us/nam/manuscript-submission-guidelinesen_US
dc.identifier.citationPAIK, H. (2000). Comments on Neural Networks. Sociological Methods & Research, 28(4), 425-453. doi: 10.1177/0049124100028004002en_US
dc.identifier.doi10.1177/0049124100028004002en_US
dc.identifier.urihttp://hdl.handle.net/11244/24916
dc.language.isoen_USen_US
dc.publisherSociological Methods & Research
dc.rights.requestablefalseen_US
dc.titleComments on Neural Networksen_US
dc.typeResearch Articleen_US

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