Yu Zhongjun, Zhao Jingquan. Simulation on pressure regulator characteristic[J]. Journal of Beijing University of Aeronautics and Astronautics, 2009, 35(11): 1379-1383. (in Chinese)
Citation: He Heng, Wu Ruixiang. Improved BP neural network in design of aircraft antiskid braking system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2004, 30(06): 561-564. (in Chinese)

Improved BP neural network in design of aircraft antiskid braking system

  • Received Date: 22 Jan 2003
  • Publish Date: 30 Jun 2004
  • The construction of Sp (perfect slip ratio) identifier with back-propagation neural network was proposed to prevent skidding and have the best braking effect in the aircraft braking process. In order to improve the learning ability of the network, a type of self-adaptive learning rate method, second-order learning rate method, was introduced. Some problems in the practice of this method were discussed and the solutions were presented. A third-order learning rate method was deduced based on the method. The method of reasonable configuration of active functions was proposed. The combination of these methods renders better learning precision and speed.

     

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