BackProp: A Tool for Learning About Connectionist Architectures.
| dc.contributor.author | Pollack, Jordan | en_US |
| dc.contributor.author | Evett, Matthew | en_US |
| dc.contributor.author | Hendler, James A. | en_US |
| dc.contributor.department | ISR | en_US |
| dc.date.accessioned | 2007-05-23T09:41:22Z | |
| dc.date.available | 2007-05-23T09:41:22Z | |
| dc.date.issued | 1988 | en_US |
| dc.description.abstract | This 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.extent | 1552820 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/1903/4773 | |
| dc.language.iso | en_US | en_US |
| dc.relation.ispartofseries | ISR; TR 1988-43 | en_US |
| dc.title | BackProp: A Tool for Learning About Connectionist Architectures. | en_US |
| dc.type | Technical Report | en_US |
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