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| Fpr: a fuzzy pattern recognizer based on sigmoidals |
| Abstract | FPR is a fuzzy pattern recognition system … FPR is a fuzzy pattern recognition system that utilizes sigmoidals toapproximate general functions. Given an input and a pattern specification, FPRproduces a continuous output. This system has been implemented using the BB1blackboard architecture and is currently applied to a medical domain. is currently applied to a medical domain. |
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| Address | Stanford, CA, USA + |
| Author | John A. Drakopoulos + |
| Bibtype | techreport + |
| Institution | Knowledge Systems, AI Laboratory + |
| Key | KSL-91-75 + |
| Modification dateThis property is a special property in this wiki. | 1 May 2009 13:37:02 + |
| Month | December + |
| Number | KSL-91-75 + |
| Tag | Computer science + |
| Title | FPR: A Fuzzy Pattern Recognizer Based on Sigmoidals + |
| Tr id | KSL-91-75 + |
| Year | 1991 + |
| Categories | Technical Report, Publication, KSL Technical Report |
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