改进的Hopfield算法在汽车衡防作弊中的应用研究

Research on the application of improved hopfield algorithm in anti-cheating of automobile scale

本文针对目前企业在使用无人值守称重系统时存在作弊现象难以准确判断的缺点,在人工智能大数据背景下提出了基于模糊综合评判优化的Hopfield算法,并创新性的应用于无人值守称重系统的作弊分析中,综合且反馈性智能调节判断参数,从而增加判断准确性,提高系统的信任度,减少作弊的可能性。

This article in view of the present enterprises in the use of unattended weighing system when cheating is difficult to accurately determine flawed,under the background of big data of artificial intelligence is proposed based on fuzzy comprehensive evaluation to optimize the Hopfield algorithm,and the innovative application in unattended weighing system,through the analysis of cheating comprehensive and intelligent feedback by adjusting the parameters of the judgment,so as to increase accuracy,improve the credibility of the system,reduce the possibility of cheating.