首页> 外国专利> LINEAR ASSOCIATIVE MAP COMPUTING ELEMENT AND OPTIMAL LINEAR ASSOCIATIVE MAP LEARNING METHOD USING THE SAME

LINEAR ASSOCIATIVE MAP COMPUTING ELEMENT AND OPTIMAL LINEAR ASSOCIATIVE MAP LEARNING METHOD USING THE SAME

机译:线性联想映射计算元素和使用相同方法的最优线性联想映射学习方法

摘要

PURPOSE:To design a computing element consisting of a simple circuit without requiring a multi-input adder by obtaining the value of a current source as the product of a linear map input value and a weight, and obtaining the value of the linear map as the sum of the potentials of the current source of a boundary part. CONSTITUTION:Current sources J are many as the number of the dimension of the input vector of the linear map are arranged in a grating shape, and one terminals (t) are connected through resistance lines at a constant resistance value (r). Further the current sources at the boundary part are grounded through the resistance lines at the same resistance value (r) and the other terminals of the all current sources J are grounded. In such a circuit, the current value in the direction from one terminal to the other terminal of the current source is obtained as the product of the linear map input vector and the weight vector, and the linear map value can be obtained as the sum of the potentials at one edge of the current source at the boundary part. Thus the simple grating type network circuit can be used without using the multi-input adder, and the design can be facilitated.
机译:目的:通过获取电流源的值作为线性映射图输入值和权重的乘积,并获得线性映射图的值作为设计元素,从而设计一种无需简单输入电路就可以构成的计算元件,而无需多输入加法器边界部分电流源的电势之和。组成:电流源J的数量很多,线性图的输入向量的尺寸排列成光栅形状,并且一个端子(t)通过电阻线以恒定的电阻值(r)连接。此外,边界部分处的电流源以相同的电阻值(r)通过电阻线接地,并且所有电流源J的另一端子接地。在这样的电路中,将电流源的从一端到另一端的方向上的电流值作为线性图输入矢量和权重矢量的乘积而求出,并且,可以将线性图值作为电流矢量的和。边界部分处电流源的一个边缘处的电位。因此,可以使用简单的光栅型网络电路而无需使用多输入加法器,并且可以简化设计。

著录项

  • 公开/公告号JPH02239385A

    专利类型

  • 公开/公告日1990-09-21

    原文格式PDF

  • 申请/专利权人 AGENCY OF IND SCIENCE & TECHNOL;

    申请/专利号JP19890061257

  • 发明设计人 UTSUKI AKIO;ISHIKAWA MASATOSHI;

    申请日1989-03-14

  • 分类号G06G7/48;G06G7/122;

  • 国家 JP

  • 入库时间 2022-08-22 06:24:13

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号