AUTONOMOUSLY CONSTITUTING METHOD FOR FUZZY NEURAL NETWORK AND CONTROLLING METHOD USING FUZZY NEUTRAL NETWORK CONSTITUTED BY AUTONOMOUSLY CONSTITUTING METHOD

PROBLEM TO BE SOLVED: To autonomously generate a fuzzy rule even for a system to be controlled having high nonlinearity by autonomously adding and deleting a fuzzy rule in a learning process and obtaining an optimum fuzzy rule for the system to be controlled. SOLUTION: It is judged whether or not a...

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Bibliographische Detailangaben
Hauptverfasser:	FUJIME YOKO, YAMAGUCHI MASASHI, FURUHASHI TAKESHI, UCHIKAWA YOSHIKI
Format:	Patent
Sprache:	eng
Schlagworte:	BLASTING CALCULATING COMBUSTION ENGINES COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONTROL OR REGULATING SYSTEMS IN GENERAL CONTROLLING CONTROLLING COMBUSTION ENGINES COUNTING ELECTRIC DIGITAL DATA PROCESSING FUNCTIONAL ELEMENTS OF SUCH SYSTEMS HEATING HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS LIGHTING MECHANICAL ENGINEERING MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS PHYSICS REGULATING WEAPONS
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Beschreibung
Zusammenfassung:	PROBLEM TO BE SOLVED: To autonomously generate a fuzzy rule even for a system to be controlled having high nonlinearity by autonomously adding and deleting a fuzzy rule in a learning process and obtaining an optimum fuzzy rule for the system to be controlled. SOLUTION: It is judged whether or not a means error E(n) after (n)-time learning is larger than a threshold value Th2 multiplied by the coefficient α(α