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| 软岩工程支护的双层SVM的智能设计方法 | |
| 引用本文： | 滕文彦,乔春生,胡宇庭.软岩工程支护的双层SVM的智能设计方法[J].北京科技大学学报,2005,27(4):395-398. |
| 作者姓名： | 滕文彦 乔春生 胡宇庭 |
| 作者单位： | 1. 北京交通大学土木建筑工程学院,北京,100044;石家庄铁路职业技术学院土木工程系,石家庄,050041 2. 北京交通大学土木建筑工程学院,北京,100044 3. 石家庄铁路职业技术学院土木工程系,石家庄,050041 |
| 基金项目： | 国家自然科学基金 , 中国铁道建筑总公司科技研究开发资助 |
| 摘 要： | 将一种机器学习算法--支持向量机引入到软岩工程支护设计领域,并根据问题需要提出了一种支持向量机回归算法且编制了相应的计算程序.工程算例证明,这种算法在学习样本数量很少的情况下就可以得到很高的预测精度,且具有推广性能好的优点,避免了人工神经元由于存在过学习问题而带来的网络参数难以确定的弊病,为类似工程的支护设计提供了一种新的途径. |
| 关 键 词： | 软岩工程 支护设计 支持向量机 机器学习 回归预测 软岩工程 智能 设计方法 support vector machines layer based supporting engineering soft rock design method 支护设计 网络参数 过学习问题 存在 人工神经元 推广性能 预测精度 情况 样本数量 回归算法 |
| 收稿时间： | 2004-03-18 |
| 修稿时间： | 2004-10-10 |
Intelligent design method for soft rock engineering supporting based on tow layer support vector machines |
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| TENG Wenyan,QIAO Chunsheng,HU Yuting.Intelligent design method for soft rock engineering supporting based on tow layer support vector machines[J].Journal of University of Science and Technology Beijing,2005,27(4):395-398. | |
| Authors: | TENG Wenyan QIAO Chunsheng HU Yuting |
| Abstract: | A machine learning algorithm-Support Vector Machines (SVM) was introduced into the field of soft rock engineering supporting design. An improved Support Vector Machines Regression (SVR) algorithm was presented to meet the needs of this problem and the corresponding calculation code was programmed. It is concluded that a high degree of prediction accuracy and a very good generalization can be obtained with small quantity of learning samples using this algorithm from the calculated results of an engineering instance. It can avoid the over-fitting problem of artificial neural network (ANN) which brings the difficulty in determining the parameters of ANN. It facilitates users to a great extent and provides a new way in the supporting design of similar engineering. |
| Keywords: | soft rock engineering supporting design support vector machine machine learning regression and prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |