会议专题

Fuzzy Neural Network Control Approach based on Gray Prediction for Poultry incubation

As poultry incubation is a complex biological process, fuzzy neural network control strategy based on gray prediction is presented and applied in incubator system. Grey predictive control with advantages of less data and less information and less calculation can predict precisely the incubation process parameters and be convenient for the followup control. Through the network learning and constantly adjusting structures of fuzzy control system, fuzzy neural network control can achieve precise control of hatching process. Simulation results show that the proposed control strategy is validated and have good dynamic and static characteristics.

Poultry incubation Gray prediction Fuzzy neural network control

Liu Hui Zhou Guoxiong

Changsha University, Changsha, Hunan, 410003, China Central South University of Forestry and Technology, Changsha, Hunan, 410004, China

国际会议

2010 Second Asia-Pacific Conference on Information Processing(2010年第二届亚太地区信息处理国际会议 APCIP 2010)

南昌

英文

639-642

2010-09-17(万方平台首次上网日期,不代表论文的发表时间)