Optimize The Design, Structure Based On Soft Computing

Some methods of soft computing were used in the field of engineering structural optimization, including BP (Back Propagating) neural network and genetic arithmetic . Aiming at the problem that it is difficult to find a suitable structure of neural network in the structural optimization, the author conducted some researches on the mapping ability and training properties of BP neural network in the structural optimization and constituted a self-adapting BP neural network. The network was used to take the place of FEM (Finite Element Method) for it's fast mapping ability in structure optimization and the genetic arithmetic was used as the searching method to accomplish global optimization. A turbine disk of areo-engine was optimized successfully with this method. Beside, the author has analyzed the way of getting suitable training samples, and carried out a method in which the training samples were optimized.