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As construction Industry is part of the complex non-linear system of the national economic development, the BP neural network of the artificial intelligence can to some extent deal with problems of the complex nonlinear system. Therefore, it has been widely applied to solving macroeconomic problems at present. The paper through systematically integrating econometrics with BP neural network establishes...
How to design the best support structure of the segment deformable mirror (DM) to ensure the high dynamic stiffness, which is very significant for the image system of the MOEMS (micro-opto-electro-mechanical systems). Based on the finite element analysis and neutral network, this article presents an optimization design method for the segment DM support structure. The modal analysis is implemented...
This paper describes the optimization solution to improve the dynamic stiffness of the deformable mirror supporting structure. The methods used are finite element analysis (FEA), orthogonal experiment and BP neural network, genetic algorithm (GA) optimal design.
This paper describes the optimization solution to improve the dynamic stiffness of the deformable mirror supporting structure. With the methods of Finite element analysis(FEA), Orthogonal experiment and BP Neural Network, the relationship between the structure parameters of the deformable mirror supporting structure and its resonate frequency is built. With this relationship and Genetic Algorithm(GA)...
With the rapid development of China economy, the freight market continues to increase, which is shown by the freight amount rise of roadway, railway, and waterway. Therefore, forecasting accurately the future trend of freight amount has a very important strategic meaning. This paper uses BP neural network method to build the freight market forecast model in China. The predication error is just 0.02~0...
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