An Assembly Prediction Model Based on GA-BP Neural Network

Abstract

The four key factors include gravity, roughness, bolt pressure and contact area as the input parameters of neural network, the GA-BP neural network was established for predicting the assembly deformation. And the experimental data is trained for this GA-BP neural network. Finally, the test data shows that BP neural network optimized by GA algorithm can achieve higher accuracy than BP neural network.

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