Structure Design Optimization Based on BP-Neural Networks and Genetic Algorithms

Owing to the increasing demand for raising the thrustweight ratio of modern aeroengine,it is very important to optimize the structures of the components.Traditional optimization methods of structure design are timeconsuming and hard to be put into practice.So,in this paper,a new method of structure design optimization is induced to which both BP neural networks and genetic algorithms (in short:BPNGA) are applied.A program which contains 9 variables is designed for the structure optimization of a disk model with the BPNGA method,which proves that it has better calculating rate and precision than those with traditional optimization methods.