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Is formed from global acceleration conversion study method being the global acceleration

机译:由全局加速度转换研究方法形成为全局加速度

摘要

PROBLEM TO BE SOLVED: To shorten the search time by repeatedly executing a global search when a solution having an evaluation function value smaller than the evaluation function value of local solution can not be searched. SOLUTION: A correction amount calculation part 207 calculates the correction amount of weight from the difference of weight or gradient transferred according to the command of correction judge part 206, a weight correction part 208 corrects the value of weight, and an extremal value search convergence judging part 209 judges whether the stop preference of extremal value search is satisfied or not. A global search part 210 executes minimization to an evaluation function and searches a point where the evaluation function value gets smaller. A global search convergence judging part 211 judges whether the point found as a result of global search satisfies the stop recurrence of macro optimization on not. When the point of smaller evaluation function value is found out, a limit condition coefficient change part 212 changes the coefficient of limit condition. When the point of smaller evaluation function value is not found out, a global optimization coefficient change part 213 updates the coefficient of global optimization and when each processing is not finished even after repetition, processing is finished.
机译:解决的问题:当无法搜索评估函数值小于本地解的评估函数值的解时,通过重复执行全局搜索来缩短搜索时间。解决方案:校正量计算部分207根据校正判决部分206的命令,根据传递的权重或梯度差计算权重的校正量,权重校正部分208校正权重的值,以及极值搜索收敛判断部件209判断是否满足极值搜索的停止偏好。全局搜索部分210对评估函数执行最小化,并且搜索评估函数值变小的点。全局搜索收敛判断部211判断作为全局搜索的结果而找到的点是否满足宏优化的停止重复发生。当发现较小的评估函数值的点时,极限条件系数改变部分212改变极限条件的系数。当未找到较小的评估函数值的点时,全局最优化系数改变部213更新全局最优化的系数,并且当即使在重复之后每个处理还没有结束时,处理结束。

著录项

  • 公开/公告号JP3597341B2

    专利类型

  • 公开/公告日2004-12-08

    原文格式PDF

  • 申请/专利权人 日本電信電話株式会社;

    申请/专利号JP19970144331

  • 发明设计人 落合 慶広;鈴木 智;

    申请日1997-06-02

  • 分类号G06N3/08;

  • 国家 JP

  • 入库时间 2022-08-21 22:26:27

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