发明名称 NEURAL NETWORK MEANS HAVING RIGHT/WRONG ANSWER DISCRIMINATING FUNCTION
摘要 PROBLEM TO BE SOLVED: To improve a general ability by having a function for highly accurately discriminating the right/wrong answer of an output signal to input data. SOLUTION: A neural network means is composed of a majority processing means 24 for sending the majority result and an output selecting processing means 25 for discriminating and selectively sending the right/wrong answer based on the majority result from a first binary output neural network means 31 for sending a signal from a learnt neural network 29 based on a first binary teacher signal through a threshold means 30, a second binary output neural network means 25 for inversely converting the signal provided from the learnt neural network 32 based on a second binary teacher signal converting the code of the first binary teacher signal through a threshold means 33 from the second binary teacher signal to the first binary teacher signal through an inverse teacher signal code converting means 34 and a third binary output neural network 39 in the similar configuration.
申请公布号 JP2001051969(A) 申请公布日期 2001.02.23
申请号 JP19990229192 申请日期 1999.08.13
申请人 KDD CORP 发明人 HACHITSUKA YOTARO
分类号 G06F15/18;G06N3/00;G06N3/04;(IPC1-7):G06F15/18 主分类号 G06F15/18
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