发明名称 LEARNING DEVICE FOR NEURAL NETWORK, LEARNING METHOD, AND CONTROLLER FOR MPPT CONVERTER USING THE SAME
摘要 <P>PROBLEM TO BE SOLVED: To provide a learning device for neural network that can be mounted on a built-in system. <P>SOLUTION: It is determined in S103 by additional learning of input whether the necessary number of neuron units is equal to or less than, or exceeds an upper-limit value of the number of units which can be mounted on a GRNN. When it is determined that the necessary number is equal to or less than the upper-limit value (Yes: S103), a new neuron unit is added to the GRNN in S105. When it is determined that the necessary number exceeds the upper-limit value (No: S103), on the other hand, a redundant unit is selected out of a plurality of neuron units constituting the GRNN in S107, and after the redundant unit is removed in S121, a neuron unit is added to the GRNN to replace the redundant unit. <P>COPYRIGHT: (C)2012,JPO&INPIT
申请公布号 JP2012098971(A) 申请公布日期 2012.05.24
申请号 JP20100246960 申请日期 2010.11.03
申请人 CHUBE UNIV 发明人 YAMAUCHI KOICHIRO
分类号 G06N3/063;G06N3/04 主分类号 G06N3/063
代理机构 代理人
主权项
地址