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 environmental factors inside greenhouse. So it´s difficult to get satisfying effect by using conventional control methods. Based on the characteristics of the greenhouse, a new fuzzy neural network controller was propose 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.