发明名称 LEARNING SYSTEM AND LEARNING METHOD OF HIERARCHICAL NEURAL NETWORK
摘要 PROBLEM TO BE SOLVED: To achieve precise and high speed learning of a neural network.SOLUTION: Processing in which, a path having the highest fidelity between a propagating signal and coupling load value, or the path and the paths disposed in the vicinity of the path, are selected, out of paths connected to respective neurons 51-54 of respective SOMs 41-43 forming respective layers 31-33 of the hierarchical neural network, and residual paths are set as sparses, is performed for the unit of the SOMs 41-43. An input signal inputted to the hierarchical neural network propagates in an order direction, an output signal is acquired, then, the acquired output signal and a target signal which is a set with the input signal are compared. Then, according to the matching degree, the fidelity between the signal propagating the selected path and coupling load value, is increased or decreased.
申请公布号 JP2015210747(A) 申请公布日期 2015.11.24
申请号 JP20140093374 申请日期 2014.04.30
申请人 NATIONAL INSTITUTE OF INFORMATION & COMMUNICATIONS TECHNOLOGY 发明人 SHINOZAKI TAKASHI
分类号 G06N3/08;G06N3/04 主分类号 G06N3/08
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