VERTICAL PARTICLE SWARM OPTIMIZATION ALGORITHM AND ITS APPLICATION IN SOFT-SENSOR MODELING

摘要：

Vertical particle swarm optimization algorithm (VPSO) is proposed in this paper.The new algorithm assumes that the particles tend to fly towards two directions.One is flying toward the global best particle.The other is flying toward the vertical direction.And there is a random value produced in every iteration step to measure the probability of flying into two directions.Both VPSO and particle swarm optimization algorithm (PSO) are used to train neural network (NN) and applied in soft-sensor of acrylonitrile yield.Finally, simulation results show that the method proposed by this paper is feasible and effective in soft-sensor of acrylonitrile yield.

关键词： Particle swarm optimization algorithm Optimization Acrylonitrile Soft-sensing

作者: WEI-PING YANG

作者单位: Electric Engineering School, Shanghai DianJi University, Shanghai 200240, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 1985-1988

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）