发明名称 STATE ESTIMATION METHOD USING NEURAL NETWORK AND STATE ESTIMATION APPARATUS USING NEURAL NETWORK
摘要 PROBLEM TO BE SOLVED: To provide a state estimation method using a neural network and its state estimation apparatus capable of highly precise estimation. SOLUTION: The state estimation method using the neural network includes: an initial learning step for learning the neural network on the basis of input data and teacher data corresponding to a class label of the input data; a virtual teacher data assignment step for assigning virtual teacher data corresponding to the virtual class label to evaluation data whose class label is unknown; an evaluation step for learning the neural network on the basis of the evaluation data and the virtual teacher data of the evaluation data to evaluate convergence property of a learning curve of the learning; and a class label estimation step for estimating as a class label of the evaluation data a virtual class label corresponding to the virtual teacher label of the learning curve which has the highest convergence property out of a plurality of learning curves every virtual teacher data of various kinds assigned to the evaluation data. COPYRIGHT: (C)2007,JPO&INPIT
申请公布号 JP2007122362(A) 申请公布日期 2007.05.17
申请号 JP20050313017 申请日期 2005.10.27
申请人 TOYOTA MOTOR CORP 发明人 UECHI MASAAKI;SASAKI KAZUYA;TAKEDA FUMIAKI
分类号 G06N3/08;G06N3/00 主分类号 G06N3/08
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