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| 公路软基沉降预测的PSO-NN模型 | |
| 引用本文： | 王直民,黄亚东,张土乔.公路软基沉降预测的PSO-NN模型[J].科技通报,2009,25(3). |
| 作者姓名： | 王直民 黄亚东 张土乔 |
| 作者单位： | 1. 浙江财经学院工程管理系,杭州,310018 2. 绍兴市消防支队,浙江,绍兴,312000 3. 浙江大学土木系,杭州,310027 |
| 摘 要： | 针对BP神经网络模型存在的不足,采用PSO算法训练神经网络权值,建立了公路软基沉降预测的PSO-NN模型.工程实例分析验证了PSO-NN模型的合理性与准确性,通过与实测沉降数据、BP神经网络模型和GA-NN模型预测结果的比较,说明PSO-NN模型具有更高的预测精度.本文的方法为公路软基沉降预测提供了一种新的预测途径. |
| 关 键 词： | 公路软基 沉降预测 神经网络 遗传算法 粒子群优化 |
PSO-NN Model of Settlement Prediction of Road Soft Foundation |
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| WANG Zhimin,HUANG Yadong,ZHANG Tuqiao.PSO-NN Model of Settlement Prediction of Road Soft Foundation[J].Bulletin of Science and Technology,2009,25(3). | |
| Authors: | WANG Zhimin HUANG Yadong ZHANG Tuqiao |
| Institution: | 1.Department of Engineering Management;Zhejiang University of Finance and Economics;Hangzhou 310018;China;2.Shaoxin Fire Detachment;Shaoxin 312000;3.Department of Civil Engineering;Zhejiang University;Hangzhou 310027;China |
| Abstract: | A new neural network model based on particle swarm optimization(PSO)was set up to predict settlement of road soft foundation(SRSF)aiming at the deficiency of BP neural networks(NN).The neural network weights of PSO-NN were trained by PSO.The rationality and veracity of PSO-NN model was validated with a case.It is concluded that the PSO-NN model can cause more accurate predict result of SRSF through comparing experimental results with the predicted results of BP network and GA-NN model.The PSO-NN model offer... |
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| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |