Design of Winner-Takes-All Circuits in Competitive Neural Networks. Issue 1 (1st October 2022)

• Record Type: Journal Article
• Authors: Feng, Ziwei; Yaoxuan, Liu; Li, Tong; Liu, Zelong; Ding, Huan; Cao, Xinzhou
• Is Part Of: Journal of physics. Volume 2356:Issue 1(2022)
• Publication Date: 2022-10-01
• Subjects: PSPICE -- Winner-Take-All Circuit -- Competitive Neural Network; Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/2356/1/012016
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract : The Winner-Take-All circuit is an important part of the competition layer in the competitive neural network. Its main function is to compare the size of the output of the nodes after the weighted summation of all input vectors, and select the node with the largest output to output high power level, while other nodes output low level, that is, to find the node with the largest output. According to the characteristics of the Winner-Take-All circuit in the competitive neural network, the simulation of the Winner-Take-All circuit is carried out by the PSPICE simulation software. The physical test results show that, like the simulation diagram of the Winner-Take-All circuit, it conforms to the logic truth table, which further confirms the rationality and correctness of the Winner-Take-All circuit. Hardware realization of Winner-Take-All circuit as an important component of competitive layer in competitive neural networks has important research significance.