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- W3144412242 abstract "最少的广场支持向量机器(LS-SVMs ) 是包含平等限制并且与最少的广场费用功能工作的修改支持向量机器(SVM ) ，它简化优化过程。在这篇论文，为 LS-SVM 基于全部的最少的广场(TLS ) 训练算法的一篇小说被介绍并且适用于多功能的传感器信号重建。为一个多功能的传感器模型的三不同非线性，输入信号的重建精确性是 0.001 36% ， 0.031 84% 和 0.504 80% 分别地。试验性的结果比训练算法的原来的 LS-SVM 为多功能的传感器信号重建表明建议方法的更高的可靠性和精确性，并且验证建议方法的可行性和稳定性。" @default.
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- W3144412242 date "2009-01-01" @default.
- W3144412242 modified "2023-09-26" @default.
- W3144412242 title "Nonlinear multifunctional sensor signal reconstruction based on least squares support vector machines and total least squares algorithm" @default.
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