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Please use this identifier to cite or link to this item: https://doi.org/10.1109/2.485895
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dc.titleSymbolic representation of neural networks
dc.contributor.authorSetiono, R.
dc.contributor.authorLiu, H.
dc.date.accessioned2014-10-27T06:05:58Z
dc.date.available2014-10-27T06:05:58Z
dc.date.issued1996-03
dc.identifier.citationSetiono, R., Liu, H. (1996-03). Symbolic representation of neural networks. Computer 29 (3) : 71-77. ScholarBank@NUS Repository. https://doi.org/10.1109/2.485895
dc.identifier.issn00189162
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/99625
dc.description.abstractNeural networks often surpass decision trees in predicting pattern classifications, but their predictions cannot be explained. This algorithm's symbolic representations make each prediction explicit and understandable.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/2.485895
dc.sourceScopus
dc.typeReview
dc.contributor.departmentINFORMATION SYSTEMS & COMPUTER SCIENCE
dc.description.doi10.1109/2.485895
dc.description.sourcetitleComputer
dc.description.volume29
dc.description.issue3
dc.description.page71-77
dc.description.codenCPTRB
dc.identifier.isiutA1996UA41100010
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