Research Quality Pig Growth Temperature Control System

摘要：

The temperature settings of quality pig growth environment affects their growth and the environmental regulation energy consumption and breeding system economic benefit directly. Based on the input output sampled data, the method simulating quality pig growth temperature model with BP neural network was simply introduced, Fuzzy Genetic Algorithm (FGA) was used to optimize on-line temperature settings; in control process, FGA was used to regulate the parameters of fuzzy controller, the experimental results have shown fuzzy controller gets better precision than before. The practice has shown breeding system economic benefit has the very big enhancement after using this systems controller.

作者: Ma congguo Zhao dean

作者单位: Jiangsu University, P.R.China Huaiyin Institute of Technology, P.R. China Jiangsu University, P.R.China

会议类型: 国际会议

会议名称: International Conference on Intelligent Computation Technology and Automation(2008 智能计算技术与自动化国际会议 ICICTA 2008)

会议地点: 长沙

会议语种:英文

页码: 432-436

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）