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erebe - construction manner null of ta direct numerical control control

机译:erebe-直接数控控制的施工方式无效。

摘要

PURPOSE: To efficiently and speedily adapt to change of a situation by constituting a neural net using predictive waiting time as output at a first stage, appropriating an input layer and a middle layer at a second stage, learning with an educator signal by way of only calling an output layer and reconstituting it for assignment and performing reinforced learning by way of limiting it only to the output layer at a third stage. ;CONSTITUTION: At a first stage, a neural net using a system situation data of a group as an input signal and information closely related to call assignment and capable of acquiring a highly precise educator signal as an output signal is constituted and learning is performed by using the educator signal. At a second stage, by leaving an input layer and a middle layer of the neural net which complete learning at the first stage as they are and reconstituting the output layer for the call assignment, the output layer is learned with the assignment result of a conventional call assignment method as the educator signal. Thereafter, at a third stage, the neural net which finishes with the second stage is applied to a working site for the call assignment, and only the output layer is appropriated to the working site at the reinforced learning during operation of an elevator.;COPYRIGHT: (C)1993,JPO&Japio
机译:目的:通过在第一阶段使用预测等待时间作为输出来构成神经网络,在第二阶段分配输入层和中间层,仅通过教育者信号学习,从而有效,快速地适应情况的变化调用输出层并将其重构以进行分配,并通过仅在第三阶段将其限制为输出层来执行强化学习。 ;构成:在第一阶段,构成一个神经网络,该神经网络使用一组的系统状态数据作为输入信号以及与呼叫分配密切相关的信息,并能够获取高精度的教育者信号作为输出信号,并且通过使用教育者信号。在第二阶段,通过保留在第一阶段就已经完成学习的神经网络的输入层和中间层,并重构输出层以进行呼叫分配,以常规的分配结果来学习输出层呼叫分配方法作为教育者的信号。此后,在第三阶段,将完成第二阶段的神经网络应用于呼叫分配的工作地点,并且在电梯运行过程中,通过强化学习,只有输出层适合于工作地点。 :(C)1993,JPO&Japio

著录项

  • 公开/公告号JP2500407B2

    专利类型

  • 公开/公告日1996-05-29

    原文格式PDF

  • 申请/专利权人 FUJI TETSUKU KK;

    申请/专利号JP19920084778

  • 发明设计人 MARUKON SHANDORU;

    申请日1992-03-06

  • 分类号B66B1/18;

  • 国家 JP

  • 入库时间 2022-08-22 03:56:56

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