遗传神经网络法在汽车故障诊断中的应用

Application of the Inheriting Neural Network Method in Vehicle Failure Dia gnosis

在汽车故障诊断系统中,针对BP算法存在收敛速度慢、容易陷入局部极小值的问题,设计了用遗传算法的复制、交换、变异过程代替BP网络的反向传播过程的改进算法。结果表明,这种改进算法具有收敛速度快、推广性强的特点,极大提高了汽车故障诊断系统的效率和准确性。

In the vehic le failure diagnosis system,aiming at disadvantages of BP arithmetic of slow conv ergence and easy to be trapped in the local minimum,the improved arithmetic tha t copy,exchange and mutation process of the inheriting arithmetic is substitute d for the backward propagation process of BP arithmetic is designed.It is shown by results that the improved arithmetic has advantages of fast convergence,eas y to be promoted,and can greatly improve efficiency and accu-rate of vehicle f ailure diagnosis systems.