| 基于LS-SVM的传感器阵列多维信号智能提取方法研究 |
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| 引用本文： | 孙林,杨世元. 基于LS-SVM的传感器阵列多维信号智能提取方法研究[J]. 中国机械工程, 2010, 0(6) |
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| 作者姓名： | 孙林 杨世元 |
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| 作者单位： | 合肥工业大学; |
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| 基金项目： | 国家自然科学基金资助项目(70672096); 合肥工业大学科学研究发展基金资助项目(2010HGXJ0076) |
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| 摘 要： | 传感器阵列可同时对多个信号进行测量,而对多个输入信号进行解耦和并行提取是其关键。提出一种基于最小二乘支持向量机(LS-SVM)的传感器阵列输入信号逆向提取智能方法,该方法基于结构风险最小化,能够逼近任意复杂的非线性关系且泛化能力强。仿真试验表明,该方法具有拟合精度高、运算速度快、容易实现等优点,适用于对传感器阵列多个输入信号进行解耦和并行提取。
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| 关 键 词： | 传感器阵列 信号提取 最小二乘支持向量机(LS-SVM) 拟合 |
Research on Multi-dimensional Signal Picking-up of Sensor Array Based on LS-SVM |
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| Sun Lin Yang Shiyuan Hefei University of Technology,Hefei. Research on Multi-dimensional Signal Picking-up of Sensor Array Based on LS-SVM[J]. China Mechanical Engineering, 2010, 0(6) |
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| Authors: | Sun Lin Yang Shiyuan Hefei University of Technology Hefei |
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| Affiliation: | Sun Lin Yang Shiyuan Hefei University of Technology,Hefei,230009 |
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| Abstract: | Sensor array can measure many signals synchronously.However,it is the key of sensor array to decompose and pick up multi-input signals.The paper put forward an intelligent method based LS-SVM to pick up input signals of sensor array.The method can approach arbitrary complex non-linear relationship closely and provide with better generalization capability because it is based on structure risk minimization.Imitating experimentation shows the proposed model is high in interpolating precise,quick in calculation... |
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| Keywords: | sensor array signal picking-up least square support vector machine(LS-SVM) fitting |
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