计算机技术与发展2012，Vol.22Issue(3)：96-98,102,4.
串联式集装箱重心偏移自适应修正算法研究
Research on Self-Adjusting Algorithm of Tandem Container Gravity Migration
何锋 1宋小波 1刘忠杰 2周培莹 1蒋欣晟1
作者信息
- 1. 常州先进制造技术研究所机器人系统实验室,江苏常州213164
- 2. 中国科学院合肥物质科学研究院先进制造技术研究所机器人系统实验室,江苏常州213164
- 折叠
摘要
Abstract
For the random gravity migration of the tandem container caused by the goods placed unevenly in sub-box weight,a self-adjusting algorithm is proposed based on radio basis function neural network. K-Mean clustering algorithm is used for determining the parameters of RBF in hidden layer,and RLS algorithm is adopted to update weights of connections between hidden layer and output layer. The center of gravity of tandem container can be calculated dynamically according to the algorithm model to various models an multiple speed ,so that get the accurate weight of each container. By simulating and comparing with RBF and BP algorithms,the experiments present the best of environmental adaptation and the least of weight error of the self-adjusting algorithm based on RBF,achieve the purpose of self-adjusting correction for the tandem container's gravity migration.关键词
串联式集装箱/动态计重/神经网络/径向基函数/K-Mean聚类算法/递推最小二乘法Key words
tandem container/weight in motion/neural network/RBF/K-Mean clustering algorithm/RLS algorithm分类
信息技术与安全科学引用本文复制引用
何锋,宋小波,刘忠杰,周培莹,蒋欣晟..串联式集装箱重心偏移自适应修正算法研究[J].计算机技术与发展,2012,22(3):96-98,102,4.
