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LVQ NEURAL NETWORK

机译:LVQ神经网络

摘要

PROBLEM TO BE SOLVED: To enable the mounting of an LVQ neural network on a semiconductor integrated circuit.SOLUTION: An LVQ neural network 100A includes: a first stage circuit 10 having registers 11I, 11R holding partial vectors of an input vector and a reference vector; a second stage circuit 20 having an adder 21 for differentiating the registers from each other of the first stage circuit and a register 22I holding its value; a third stage circuit 30 having a multiplier 31 for squaring a register value of the second stage circuit and a register 32I holding its value; a fourth stage circuit 40 having an adder 41 for cumulatively adding the register value of the third stage circuit and a register 43 holding its value; and a fifth stage circuit 50 having a register 51 holding the minimum distance between the input vector and the reference vector and a comparator 52, and outputting a minimum distance detection signal in the case where the register value of the fourth stage circuit is smaller than the minimum distance. Each stage circuit performs pipeline operation.SELECTED DRAWING: Figure 1
机译:解决的问题:为了能够在半导体集成电路上安装LVQ神经网络。解决方案:LVQ神经网络100A包括:第一级电路10,其具有寄存器11I,11R,用于保存输入矢量和参考矢量的部分矢量。 ;第二级电路20具有用于将第一级电路的寄存器彼此区分的加法器21和保持其值的寄存器22I;第三级电路30,具有用于对第二级电路的寄存器值求平方的乘法器31和保持其值的寄存器32I。第四级电路40,具有用于将第三级电路的寄存器值累加的加法器41和保持其值的寄存器43;第五级电路50,其具有保持输入矢量和参考矢量之间的最小距离的寄存器51和比较器52,并且在第四级电路的寄存器值小于输入值的情况下输出最小距离检测信号。最小距离。每个级电路都执行流水线操作。选定的图纸:图1

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