Quaternionic and complex-valued Support Vector Regression for Equalization and Function Approximation

机译：用于均衡和函数逼近的四元数和复值支持向量回归

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Support vector regressors (SVRs) are a class of nonlinear regressor inspired by Vapnik''s support vector (SV) method for pattern classification. The standard SVR has been successfully applied to real number regression problems such as financial prediction

机译：支持向量回归器（SVR）是一类非线性回归器，其灵感来自Vapnik的模式分类的支持向量（SV）方法。标准的SVR已成功地应用于实数回归问题，例如财务预测

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《Neural Networks, The 2007 IEEE International Joint Conference on》|2007年|P.920-925|共6页
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Shilton; A.; Lai; D.T.H.;
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中图分类工业技术;
关键词
equalisers; pattern classification; regression analysis; support vector machines; communications channel equalization; complex-valued support vector regression; financial prediction; function approximation; nonlinear regressor; pattern classification; quaternions;

机译：均衡器;模式分类;回归分析;支持向量机;通信信道均衡;复值支持向量回归;财务预测;函数逼近;非线性回归;模式分类;四元数;

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5. Nonlinear signal processing for digital communications using support vector machines and a new form of adaptive decision feedback equalizer. [D] . Sebald, Daniel Jon. 2000

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机译：用于均衡和函数逼近的四元数和复值支持向量回归

Quaternionic and complex-valued Support Vector Regression for Equalization and Function Approximation

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