| 基于SVM和遗传算法的建模与全局寻优方法 |
| |
| 引用本文： | 雷剑. 基于SVM和遗传算法的建模与全局寻优方法[J]. 适用技术之窗, 2008, 0(5): 120-122 |
| |
| 作者姓名： | 雷剑 |
| |
| 作者单位： | 江西理工大学机电工程学院,江西赣州341000 |
| |
| 摘 要： | 系统建模与寻找函数的全局最优解是很常见的工业应用问题。本文首先讨论使用支持向量机来根据由系统中提取的样本数据进行函数拟合，然后将所得到的函数作为目标函数，介绍了用遗传算法寻找函数最优解的步骤．并对优化结果进行了检验，结果表明了遗传算法具有良好的全局快速搜索能力。
|
| 关 键 词： | 支持向量机 遗传算法 建模 全局寻优 |
Modeling and Global Optimum Seeking Method Based on SVM and GA |
| |
| Lei Jian. Modeling and Global Optimum Seeking Method Based on SVM and GA[J]. Science & Technology Plaza, 2008, 0(5): 120-122 |
| |
| Authors: | Lei Jian |
| |
| Affiliation: | Lei Jian(Faculty of Mechanical and Electronic Engineering, Jiangxi University of Science and Technology, Jiangxi Ganzhou 341000) |
| |
| Abstract: | It is a very common engineering application problem to model a system and to search an global optimum solution of a function.At first,the paper discusses how to use SVM to draw up to match the function according to the sample data derived from the system.Then the paper introduces the processes of using GA to seek the optimum solution of the aim function-the function found out before,and tests the result.Finally it shows that GA had good global rapid seeking ability. |
| |
| Keywords: | SVM GA Modeling Global Optimum Seeking |
| 本文献已被 维普 等数据库收录！ |
