| 工程结构优化的神经网络方法 |
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| 引用本文： | 吴剑国 赵丽萍. 工程结构优化的神经网络方法[J]. 计算力学学报, 1998, 15(1): 69-74 |
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| 作者姓名： | 吴剑国 赵丽萍 |
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| 作者单位： | 华东船舶工业学院船舶工程系 |
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| 基金项目： | 中国船舶工业总公司基金 |
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| 摘 要： | 本文阐述了神经网络优化计算的基本原理，构造了工程结构优化的神经网络模型。采用模拟退火技术进行模型求解，且巧妙地将退火温度Ｔ的倒数作为Ｌａｇｒａｎｇｅ乘子，以改善增广目标函数的收敛性。实例计算表明，由非线性模拟神经元组成的大规模并行、互连的网络在工程结构的优化设计中是可行且有效的。
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| 关 键 词： | 结构优化；人工神经网络；模拟退火算法 |
Neural network method for structural engineering optimization |
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| Wu Jianguo Zhao Liping. Neural network method for structural engineering optimization[J]. Chinese Journal of Computational Mechanics, 1998, 15(1): 69-74 |
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| Authors: | Wu Jianguo Zhao Liping |
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| Abstract: | The basic principle of artificial neural optimization is described, the neural network model for structural engineering optimization is built. The simulated annealing technique is used, and 1/T is regraded as the Lagrange multiplier to improve convergence. The illustrative numerical example of a structural sizing optimization shows that massively parallel, interconnected networks of nonlinear analog neurons are most effctive in structural optimization. |
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| Keywords: | structural optimization artificial neural network simulated annealing algorithm |
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