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《Aircraft Design》 2006-02
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Optimization Design Based on Hopfield Neural Network & KS-Function

ZHOU Sheng-qiang~()(School of Aeronautic Science and Engineering,Beijing University of Aeronautics and Astronautics,Beijing 100083,China)  
The principle of Hopfield neural network for optimization is presented.The numerical implementation of the network is transformed into the initial value problem of non-linear differential equations,and the ODE solver of MATLAB can be used.For multi-constraint optimization problems,KS function can agglomerate these constraints,the smooth and differentiable feature of which is favorable for the solution.The results from the application of the method to a non-liner constrained optimization and a parameter optimization for the conceptual design of an aircraft indicate that the method is effective.
【CateGory Index】: TP183
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Chinese Journal Full-text Database 3 Hits
1 Fang Weiguo , Li Zhengneng (Institute of Aircraft Design, Beijing University of Aeronautics and Astronautics, Beijing, 100083);AIRCRAFT SCHEME OPTIMIZATION DESIGN BASED ON GLOBAL SENSITIVITY EQUATION METHOD[J];ACTA AERONAUTICA ET ASTRONAUTICA SINICA;1998-03
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Chinese Journal Full-text Database 10 Hits
1 Zhou Shengqiang Xiang Jinwu(School of Aeronautic Science and Technology,Beijing University of Aeronautics and Astronautics,Beijing 100083,China);Hopfield network based approach to aircraft design[J];Journal of Beijing University of Aeronautics and Astronautics;2006-06
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【Secondary Citations】
Chinese Journal Full-text Database 2 Hits
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