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BackProp: A Tool for Learning About Connectionist Architectures.

dc.contributor.authorPollack, Jordanen_US
dc.contributor.authorEvett, Matthewen_US
dc.contributor.authorHendler, James A.en_US
dc.date.accessioned2007-05-23T09:41:22Z
dc.date.available2007-05-23T09:41:22Z
dc.date.issued1988en_US
dc.identifier.urihttp://hdl.handle.net/1903/4773
dc.description.abstractThis paper provides an implementation, in Common Lisp, of an "epoch learning algorithm," a simple modification of the standard back-propagation algorithm. This implementation is not intended to be a general purpose, high powered back-propagation learning system. Rather, this paper seeks only to provide a simple implementation of a popular and easily understood connectionist learning algorithm. It is intended to be a, teaching tool for AI researchers wishing to familiarize themselves or their students with back-propagation in a language with which they are comfortable.en_US
dc.format.extent1552820 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1988-43en_US
dc.titleBackProp: A Tool for Learning About Connectionist Architectures.en_US
dc.typeTechnical Reporten_US
dc.contributor.departmentISRen_US


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