FPR: A Fuzzy Pattern Recognizer Based on Sigmoidals

Citation: John A. Drakopoulos. (1991) FPR: A Fuzzy Pattern Recognizer Based on Sigmoidals. In KSL-91-75, December,1991.

Publication techreport ( Edit )
type	Technical Report
bibtype	techreport
Bibtex basics
author	John A. Drakopoulos
title	FPR: A Fuzzy Pattern Recognizer Based on Sigmoidals
number	KSL-91-75
institution	Knowledge Systems, AI Laboratory
address	Stanford, CA, USA
year	1991
month	December
Bibtex more
Access Paper
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 BB1blackboard architecture and is currently applied to a medical domain.

KSL Technical Report ID: KSL-91-75

Abstract	FPR is a fuzzy pattern recognition system … 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 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 +
Has author	John A. Drakopoulos +
Has identifier	KSL-91-75 +
Has publishing details	December,1991 +
Has title	FPR: A Fuzzy Pattern Recognizer Based on Sigmoidals +
Has where published	KSL-91-75 +
Has year	1991 +
Institution	Knowledge Systems, AI Laboratory +
Ksl tr id	KSL-91-75 +
Month	December +
Number	KSL-91-75 +
Process note	NO +
Title	FPR: A Fuzzy Pattern Recognizer Based on Sigmoidals +
Year	1991 +