计算机科学 ›› 2003, Vol. 30 ›› Issue (8): 124-125.

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新型SVM对时间序列预测研究

朱家元 段宝君 张恒喜   

  1. 空军工程大学工程学院飞机与发动机工程系,西安710038
  • 出版日期:2003-08-15 发布日期:2018-11-17

  • Online:2003-08-15 Published:2018-11-17

摘要: In this paper, we present a new support vector machines-least squares support vector machines (LS-SVMs). While standard SVMs solutions involve solving quadratic or linear programming problems, the least squaresversion of SVMs corresponds to solving a set

关键词: 机器学习 支持向量机 SVM 时间序列预测 模糊神经网络

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