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Neural network test method e.g. for air conditioner, by testing for error between network output signal and teacher output signal for each input signal sub-space

机译:神经网络测试方法对于空调,通过测试每个输入信号子空间的网络输出信号和教师输出信号之间的误差

摘要

The method involves dividing an m-dimensional input signal space (X) at an input layer into a number of input signal sub-spaces (XP), while one region of each input signal is defined for input to the input layer as a one-dimensional input signal space. The neural network is tested by testing for an error (E) between the network output signal and the teacher output signal for each input signal sub-space. The method may also involve calculating an interval error representing an achievable region of the error between the teacher output signal and the network output signal. Independent claims are included for a data carrier in which a program for performing the test method is recorded, a test apparatus, and a method of manufacturing an air conditioner.
机译:该方法包括将输入层的m维输入信号空间(X)划分为多个输入信号子空间(XP),同时将每个输入信号的一个区域定义为一个输入到输入层,维输入信号空间。通过测试每个输入信号子空间的网络输出信号和教师输出信号之间的误差(E),来测试神经网络。该方法还可以包括计算表示教师输出信号和网络输出信号之间的误差的可实现区域的间隔误差。对于其中记录有用于执行测试方法的程序的数据载体,测试设备以及制造空调的方法,包括独立权利要求。

著录项

  • 公开/公告号DE19925206A1

    专利类型

  • 公开/公告日2000-12-07

    原文格式PDF

  • 申请/专利权人 DENSO CORP. KARIYA;

    申请/专利号DE1999125206

  • 发明设计人 TAMURA SHINICHI;TATEISHI MASAHIKO;

    申请日1999-06-01

  • 分类号G06F15/18;G06F11/00;G05B13/02;

  • 国家 DE

  • 入库时间 2022-08-22 01:10:29

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