Abstract:

According to the requirements of airworthiness regulations, a special index system for the selection of aeronautical material suppliers is proposed with the establishment of AHP-BP neural network model. The weight of each index is determined through AHP, and then combined with BP neural networks, the implicit knowledge and discipline from the training data is extracted, so that it can be used for new suppliers conveniently. The momentum gradient descent back-propagation algorithm is used in the model with well extensibility and increasing dynamic nature of the evaluation. Verification shows that AHP-BP neural network model is with strong practicability for the selection of aeronautical material suppliers.

Key words: supplier, airworthiness, AHP, BP neural networks