BP neural network for the shortcomings, this paper genetic algorithm can converge to global optimal solution and And genetic algorithm robustness characteristics of the genetic algorithm combined with neural networks, neural networks can not only play The generalization ability of network mapping, and the neural network with fast convergence and a strong ability to learn. As The validation of genetic algorithm to optimize the effectiveness of BP neural network, this algorithm is applied to this line a handstand Put stability control, and interface development using UbVIEW language ability, and data entry, network Network communications, hardware, the advantages of simple control, produced a simulation of the inverted pendulum control and real-time control software. Simulation Studies have shown that genetic algorithm BP neural network controller design is feasible, can achieve a good fall Li put stability control.

遗传算法优化神经网络的控制器设计及应用.nh

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