Neural network design on the united arithmetic of chaos particle swarm and discrete binary particle swarm

摘要：

Utilizing the optimizing capability of PSO arithmetic, this paper makes use of the united arithmetic of chaos particle swarm optimization and discrete binary particle swarm optimization simultaneously processing parameters of joint structure of neural network and connective power. Experimental result shows that this arithmetic is an effective neural network training arithmetic which can effectively amend neural network structure and parameters optimization, enhance network capability.

作者: LI Xin-ran Jin Yan-xia

作者单位: College of Computer Science and Technology, North University of China, Taiyuan 030051,China Ministry of Education Key Laboratory of Instrumentation Science and Dynamic Measurement, North Unive

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 452-455

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）