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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.
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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