| 基于LSSVM的VVP推力系数预报 |
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| 引用本文： | 郑秀丽,刘胜,李冰.基于LSSVM的VVP推力系数预报[J].控制工程,2011,18(4):584-587. |
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| 作者姓名： | 郑秀丽 刘胜 李冰 |
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| 作者单位： | 哈尔滨工程大学自动化学院,黑龙江哈尔滨,150001 |
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| 基金项目： | 黑龙江省博士后基金(20080430888); 黑龙江省自然基金(F2004-19) |
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| 摘 要： | 针对神经网络存在结构较难确定、训练易陷入局部最优以及容易过学习等问题和标准SVM训练速度较慢等问题,提出最小二乘支持向量机算法,最小二乘支持向量机算法(LS-SVM)具有比其他非线性函数逼近方法具有更强的泛化能力；并且LS-SVM采用径向基核函数,得到LSSVM模型的待定参数比标准支持向量机少,仅为2个.将最小二乘支持...
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| 关 键 词： | 最小二乘支持向量机 周期螺距状态 全方位推进器 推力系数 转矩系数 |
Hydrodynamic Coefficients of VVP Prediction Based on LS-SVM |
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| ZHENG Xiu-li,LIU Sheng,LI Bing.Hydrodynamic Coefficients of VVP Prediction Based on LS-SVM[J].Control Engineering of China,2011,18(4):584-587. |
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| Authors: | ZHENG Xiu-li LIU Sheng LI Bing |
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| Affiliation: | ZHENG Xiu-li,LIU Sheng,LI Bing(Automation College,Harbin Engineering University,Harbin 150001,China) |
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| Abstract: | Because NN has the problem of uncertain configuration,local optimization,over-learn,and the lower speed of standard SVM,we advanced the LSSVM which has more generalization ability compared with other method of nonlinear function approach,and the LSSVM model has less undetermined parameter which is two compared with standard SVM because LSSVM adopted radial basis kernel function.In this paper,LSSVM is applied in the thrust coefficient and model coefficient prediction of variable vector propeller in cyclic pi... |
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| Keywords: | LSSVM cyclic pitch variable vector propeller thrust coefficient model coefficient |
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