Application of PSO Arithmetic in a Greenhouse Neural Network Expert System

摘要：

Aim at such drawbacks of neural network expert systems as slower convergence pace, longer learning time, etc.Based on an intelligent greenhouse neural networks expert system, PSO arithmetic is applied in its learning process and forecasting process. Simulation results demonstrate the efficiency and the effectiveness of the proposed method, the PSO arithmetic combined with neural networks, can improve the convergence pace and learning ability of neural network, and it has entirely stronger convergence ability.

关键词： PSO Arithmetic Expert System and BP Neural Network

作者: Hong Liu

作者单位: Computer and Information Engineering College, Zhejiang Gongshang University HangZhou, 310035,China

会议类型: 国际会议

会议名称: 2006 International Symposium on Distributed Computing and Applications to Business,Engineering and Science(2006年国际电子、工程及科学领域的分布式计算应用学术研讨会)

会议地点: 杭州

会议语种:英文

页码: 759-762

在线出版日期: 2006-10-12（万方平台首次上网日期，不代表论文的发表时间）