New Temperature Idity Fuzzy Neural Neural Network Controller Based On Improved Genetic Algorithm
The greenhouse is a complex system. There is strong coupling relationship among its environm ental factors in side greenhouse. So its difficult to get satisfying effect by using conventional control methods. Based on the characteristics of the greenhouse, a new fuzzy neural network controller was proposd to create a proper condition for crop growth.The genetic algorithm was used to train the architecture of fuzzy neural network controller, which was adopted in the greenhouse. Finally,the simulations with Matlab about this system were done. The result was that the speed and precision of the system were improved. The overshoot was reduced also. And the greenhouse system with this fuzzy neural network based genetic algorithm had such features as responding quickly, smooth transition.
fuzzy neural network controller genetic algorithm greenhouse tempreture
Zhang Su Zhang Shuguang Liu Yu Gao Liai
College of Mechanical and Electrical Engineering,Agriculture University of Hebei,Baoding 071001 Chin The office of the School-run Industrial Management System,Agriculture University of Hebei,Baoding 07
国际会议
西安
英文
2007-08-16（万方平台首次上网日期，不代表论文的发表时间）