FPR: A Fuzzy Pattern Recognizer Based on Sigmoidals

Reference: Drakopoulos, J. FPR: A Fuzzy Pattern Recognizer Based on Sigmoidals. Knowledge Systems Laboratory, December, 1991.

Abstract: FPR is a fuzzy pattern recognition system that utilizes sigmoidals to approximate general functions. Given an input and a pattern specification, FPR produces a continuous output. This system has been implemented using the BB1 blackboard architecture and is currently applied to a medical domain.

Full paper available as ps.

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