首页> 外文会议>International Conference on Machine Tool Technology and Mechatronics Engineering >Chaotic Ants Swarm Optimize Least Square Support Vector Machine
【24h】

Chaotic Ants Swarm Optimize Least Square Support Vector Machine

机译:混沌蚂蚁群优化最小二乘支持向量机

获取原文

摘要

This paper focuses on intelligent analysis of small samples in geotechnical engineering, the calculation process of SVM is simplified by applying LSSVM, the generalization performance of SVM is maintained utmost by using leave one out method, the approximation performance of SVM is optimized by applying wavelet kernel constructed from Marr wavelet, the parameters of SVM is optimized quickly and comprehensively through applying chaotic ants swarm algorithm, the convergence of chaotic ants swarm algorithm is accelerated by reconstituting part of ant-matrix in the process of optimization, and lastly the effectiveness of chaotic ants swarm optimize LSSVM algorithm is proven through practical engineering.
机译:本文重点介绍了岩土工程中小样本的智能分析,通过应用LSSVM简化了SVM的计算过程,通过使用留下方法来实现SVM的泛化性能,通过应用小波核来优化SVM的近似性能由Marr小波构造,通过应用混沌蚂蚁群算法,SVM参数快速,全面地进行优化,混沌蚂蚁群算法的收敛通过在优化过程中重构蚂蚁矩阵的一部分而加速,最后是混沌蚂蚁的有效性通过实际工程证实了Swarm优化LSSVM算法。

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