BP network model optimized using the genetic algorithms and the application on fault diagnose of equipments

The BP nerve network has been widely applied on fault diagnosis. The BP network due to adopt search arithmetic along grads drop, therefore there are some problems such as slow convergence rate and easily getting into local infinitesimal. The genetic algorithms has the excellence of rapid searching rate. Therefore, auto-adapt genetic algorithms is adopted to optimize the BP algorithms in the paper. For example, for fault diagnosis in shafting of main engine, an ideal effect can be got while adopting BP network which had been optimized by genetic algorithms.