Artificial neural networks in policy research: A current assessment.
Assesses recent advances in neuroscience, computer science, psychology, and other fields that have led to the development of computer programs that are modeled, in principle, on idealizations of organic neural structures. Description of artificial neural networks (ANNs); Important characteristics o...
| Publicado en: | Journal of Communication Vol. 43; no. 1; pp. 63 - 81 |
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| Formato: | Artículo |
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Oxford University Press / USA
Winter93
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=9303080190&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 9303080190 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00219916 JCO jtl: Journal of Communication issn: 00219916 maglogo: N pubinfo: dt: Winter93 vid: 43 iid: 1 pid: 622 pub: Oxford University Press / USA artinfo: ui: 9303080190 10.1111/j.1460-2466.1993.tb01249.x ppf: 63 ppct: 18 formats: tig: atl: Artificial neural networks in policy research: A current assessment. aug: au: Woelfel, Joseph su: Computer science research sug: subj: Computer science research ab: Assesses recent advances in neuroscience, computer science, psychology, and other fields that have led to the development of computer programs that are modeled, in principle, on idealizations of organic neural structures. Description of artificial neural networks (ANNs); Important characteristics of ANNs; Supervised models; Self-organizing models; Hybrid models; Value of the model. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 1993 holdings: @attributes: islocal: N |
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