%0 Journal Article
%T Multi-velocity particle swarm optimization and its application in soft sensor<br>多速微粒群优化算法及其在软测量中的应用
%A XU Wen-bo
%A DU Run-long
%A <br>须文波
%A 杜润龙
%J 计算机应用
%D 2007
%I 
%X Multi-velocity particle swarm optimization algorithm (MVPSO) is an improved PSO algorithm, which can overcome the shortcomings of easily getting in the local extremum. Besides, this improved algorithm is characterized by clear definition, simple operation and easy realization. Both MVPSO and PSO were used to resolve several typical test function optimization problems. The results indicate that MVPSO has higher efficiency, better performance and more advantages in many aspects than PSO. MVPSO was applied to train artificial neural network to construct a practical soft sensor of product concentration of penicillin fermentation process. The experimental results indicate that this method is feasible and effective in soft sensor application.
%K particle swarm optimization
%K multi-velocity
%K soft sensor
%K fermentation process<br>粒子群优化算法
%K 多速
%K 软测量
%K 发酵过程
%K 粒子群优化算法
%K 软测量模型
%K 应用
%K soft
%K sensor
%K application
%K 优化性能
%K BPNN
%K 实验
%K 产物浓度
%K 发酵过程
%K 青霉素
%K 优化效率
%K 全局最优解
%K 结果
%K 测试
%K 优化问题
%K 多峰值函数
%K 极值
%K 局部
%K 标准
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD274305121175808B8F53818B&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=38B194292C032A66&sid=245EE63BFE8F8B66&eid=20D29EF591CB2C94&journal_id=1001-9081&journal_name=计算机应用&referenced_num=1&reference_num=8