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LEARNING DEVICE FOR NEURAL NETWORK, LEARNING METHOD, AND CONTROLLER FOR MPPT CONVERTER USING THE SAME

机译:使用相同的神经网络学习装置,学习方法和MPPT转换器的控制器

摘要

PROBLEM TO BE SOLVED: To provide a learning device for neural network that can be mounted on a built-in system.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.
机译:解决的问题:提供一种可安装在内置系统上的神经网络学习设备。解决方案:在S103中,通过额外学习输入来确定所需的神经元单元数量是否等于或小于该数量,或超过GRNN上可以安装的单元数的上限。当确定所需数量等于或小于上限值时(是:S103),在S105中将新的神经元单位添加到GRNN。另一方面,当确定必要数量超过上限值时(否:S103),在S107中从构成GRNN的多个神经元单元中选择冗余单元,并且在去除冗余单元之后在S121中,将神经元单元添加到GRNN以替换冗余单元。

著录项

  • 公开/公告号JP2012098971A

    专利类型

  • 公开/公告日2012-05-24

    原文格式PDF

  • 申请/专利权人 CHUBE UNIV;

    申请/专利号JP20100246960

  • 发明设计人 YAMAUCHI KOICHIRO;

    申请日2010-11-03

  • 分类号G06N3/063;G06N3/04;

  • 国家 JP

  • 入库时间 2022-08-21 17:43:03

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