A Modified SMO Algorithm for SVM Regression and Its Application in Quality Prediction of HP-LDPE

  title={A Modified SMO Algorithm for SVM Regression and Its Application in Quality Prediction of HP-LDPE},
  author={Hengping Zhao and Jinshou Yu},
A modified sequential minimal optimization (SMO) algorithm for support vector machine (SVM) regression is proposed based on Shevade's SMO-1 algorithm. The main improvement is that a modified heuristics method is used in this modified SMO algorithm to choose the first Lagrange multiplier when optimizing the Lagrange multipliers corresponding to the non-boundary examples. To illustrate the validity of the proposed modified SMO algorithm, a benchmark dataset and a practical application in… 
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