Artificial Neural Network (ANN) is an imitation of the intelligence by the point of physiological. It has a high capacity of learning and adaptive, can approximate any function to arbitrary accuracy, and complete the simulation of the system. The Genetic algorithm is a simulation of natural biological evolution, which has a strong ability of global optimization. These two algorithms are more intelligent method of current research. The idea of combining these two methods with the conventional PID controller to be a intelligent controller with the abilities of parameter auto-tuning and adaptive for the requirements of the complex environment, has a high practical significance of improving the control effect.

基于遗传算法优化的智能控制研究.kdh

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