Auto-identification of BP neural network in defective product of shock absorber

Indicator diagram of shock absorber plays an important role in identifying whether it is qualified. At present, shape identification of the indicator diagram of shock absorber depends heavily on experience. The paper discusses the process BP neural network identify kinds of indicator diagrams of shock absorber, including the algorithm of BP neural network, the method of picking up characteristics of the indicator diagram of shock absorber and some successful examples.