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《Sichuan Building Science》 2013-01
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Structural optimization algorithm based on Hopfield neural network

LI Yujie,LI Zhangzheng(Sichuan University Architecture and Environment Institute,Chengdu 610065,China)  
Use Hopfield neural network and augmented Lagrange multiplier method to solve nonlinear constraint with the structure optimization problems.According to the neural network model easily into the local minimum solution shortcomings,network into the simulated annealing algorithm,improve the network global optimization ability and obtain the better the optimization results,this paper described the algorithm of steps,the algorithm of the calculation procedure,finally through two examples show the feasibility and effectiveness of the algorithm.
【CateGory Index】: TU311.41
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