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| 基于遗传神经网络的砂土液化判别模型 | |
| 引用本文： | 任文杰,苏经宇,窦远明,戎贤.基于遗传神经网络的砂土液化判别模型[J].地震工程与工程振动,2003,23(3):145-149. |
| 作者姓名： | 任文杰 苏经宇 窦远明 戎贤 |
| 作者单位： | 1. 河北工业大学土木工程学院,天津,300132 2. 中国建筑科学研究院工程抗震研究所,北京,100013 3. 河北工业大学规划与建设处,天津,300130 |
| 基金项目： | 国家自然科学基金(59938180) |
| 摘 要： | 针对BP人工神经网络具有易陷入局部极小等缺陷，本文提出了将遗传算法与神经网络相结合，同时优化网络结构与权值、阈值的思想。根据地震液化的实测资料，建立了砂土液化判别的遗传神经网络模型，比较计算结果证明了该模型的科学性、高效性。文中并进行主成分分析，提出液化影响的主要因素。 |
| 关 键 词： | 遗传神经网络 砂土液化判别模型 BP人工神经网络 权值 阈值 地震液化 主成分分析 |
| 文章编号： | 1000-1301(2003)03-0145-05 |
Model of estimation for sand liquefaction based on genetic neural network |
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| REN Wen-jie,SU Jing-yu,DOU Yuan-ming,RONG Xian.Model of estimation for sand liquefaction based on genetic neural network[J].Earthquake Engineering and Engineering Vibration,2003,23(3):145-149. | |
| Authors: | REN Wen-jie SU Jing-yu DOU Yuan-ming RONG Xian |
| Abstract: | Considering some defects of BP Neural Network,this paper proposes a GA-BP(Genetic Neural Network) learning algorithm, which is obtained by using Genetic Algorithm to optimize neural network trained by BP algorithm. Based on the observation data of sand liquefaction, the GA-BP model is established, and the computing results prove that the model is scientific and effective. By means of analyzing leading components, this paper puts forth main factors influencing sand liquefaction. |
| Keywords: | BP neural network genetic algorithm genetic neural network sand liquefaction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |