首页> 外文期刊>Journal of information and computational science >An Extended Multikernel Semiparametric Support Vector-based Regression Algorithm and Its Application in Coal Stratum Environmental Assessment
【24h】

An Extended Multikernel Semiparametric Support Vector-based Regression Algorithm and Its Application in Coal Stratum Environmental Assessment

机译:基于扩展多核半参数支持向量的回归算法及其在煤层环境评价中的应用

获取原文
获取原文并翻译 | 示例
       

摘要

In the study, an extended multikernel semiparametric support vector-based regression algorithm is proposed and applied to coal stratum environmental evaluation. Instead of the traditional support vector-based regression algorithm, extended multikernel semiparametric support vector-based regression algorithm has an excellent global optimization. The comparison of final evaluation error of coal stratum environment between extended multikernel semiparametric support vector-based regression algorithm and traditional semiparametric support vector-based regression algorithm indicate that extended multikernel semiparametric support vector-based regression algorithm has an more excellent performance for coal stratum environment than traditional semiparametric support vector-based regression algorithm. Thus, we can conclude that, the evaluation for coal stratum environment of extended multikernel semiparametric support vector-based regression algorithm is feasible.
机译:在研究中,提出了一种扩展的基于多核半参数支持向量的回归算法,并将其应用于煤层环境评价。代替传统的基于支持向量的回归算法,扩展的多核半参数基于支持向量的回归算法具有出色的全局优化能力。基于扩展的多核半参数支持向量回归算法与传统的基于多核半参数支持向量的回归算法对煤层环境最终评估误差的比较表明,扩展的基于多核半参数支持向量的回归算法对煤层环境的性能优于传统的基于半参数支持向量的回归算法。因此,可以得出结论,基于扩展多核半参数支持向量的回归算法对煤层环境的评价是可行的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号