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| 基于支持向量机的pH中和过程辨识 | |
| 引用本文： | 成娟娟,谭永红,高博.基于支持向量机的pH中和过程辨识[J].兰州理工大学学报,2009,35(2). |
| 作者姓名： | 成娟娟 谭永红 高博 |
| 作者单位： | 1. 兰州理工大学,电气工程与信息工程学院,甘肃,兰州,730050 2. 桂林电子科技大学,智能系统与工业控制研究室,广西,桂林,541004 3. 北方惠丰,北京,高新技术有限公司,北京,100080 |
| 摘 要： | 针对pH中和过程具有强非线性、时变性的特点,提出一种基于支持向量机的pH中和过程模型辨识方法.该方法采用结构风险最小化准则,保证网络具有较强的推广特性,通过求解凸二次规划确保网络结构全局最优化自动生成.利用支持向量机建立辨识pH中和过程辨识模型.仿真结果表明模型辨识精度高,泛化性能好,模型有效且易于实现. |
| 关 键 词： | 中和过程 支持向量机 模型 |
Identification of pH neutralization process based on support vector machine |
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| CHENG Juan-Juan,TAN Yong-Hong,GAO Bo.Identification of pH neutralization process based on support vector machine[J].Journal of Lanzhou University of Technology,2009,35(2). | |
| Authors: | CHENG Juan-Juan TAN Yong-Hong GAO Bo |
| Abstract: | Aimed at the strong non-linearity and time-varying properties in a pH neutralization process,its identification model was proposed on the basis of support vector machine.The model was based on structure risk minimization(SRM) principle and a stronger generalization ability of network could be promised.By solving a quadratic convex programming problem,a global optimization could be automatically generated.The identification model was established based on support vector machines and the simulation result of t... |
| Keywords: | pH |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |