| 基于神经网络理论的船舶结构可靠性优化设计 |
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| 引用本文： | 余建星,林杰人.基于神经网络理论的船舶结构可靠性优化设计[J].中国造船,1996(1):59-67. |
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| 作者姓名： | 余建星 林杰人 |
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| 作者单位： | 天津大学(余建星，徐慧，胡云昌，郭振邦)，上海交通大学(林杰人) |
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| 摘 要： | 本文将人工神经网络理论应用于船舶纵向结构的可靠性优化设计中，采用模拟退火和玻尔茨曼机原理，在优化过程中可避开局部最优解，取得系统的近似最优解。
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| 关 键 词： | 船体结构 可靠性 设计 神经网络理论 船舶 |
THE RELIABILTY-BASED OPTIMUM DESIGN OF SHIP'S STRUCTURE BASED ON NEURAL NETWORK THEORY |
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| YU Jianxing, XU Hui, HU Yunchang, GUO Zhenbang.THE RELIABILTY-BASED OPTIMUM DESIGN OF SHIP''S STRUCTURE BASED ON NEURAL NETWORK THEORY[J].Shipbuilding of China,1996(1):59-67. |
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| Authors: | YU Jianxing XU Hui HU Yunchang GUO Zhenbang |
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| Institution: | YU Jianxing; XU Hui; HU Yunchang; GUO Zhenbang(Tianjin University)LIN Jieren(Shanghai Jiao Tong University) |
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| Abstract: | This paper applies neural network theory to the reliability-based optimum design of a ship's longitudinal structure and adopts simulated annealing method and Boltzmann machine principle by which we can avoid the local optimum and find the approximate global optimum of the system. Since only one approximate global optimum can be reached using neural network theory for optimum designs, an approach which sets a memory in optimization process is developed and precision is improved efficiently. Some new improvements are introduced to the simulated annealing method, which reduce design time greatly. The validity and general applicability of the above methods and program are verified by the results of the reliability-based optimum design of real midship cross section. |
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| Keywords: | Hull structure Reliability Optimum design Neural network theory |
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