首页> 外文会议>International Conference on Management and Service Science;MASS 2009 >Research on Noise Reduction Method for Chaotic Time Series and Its Application Based on Least Square Support Vector Machine

【24h】

Research on Noise Reduction Method for Chaotic Time Series and Its Application Based on Least Square Support Vector Machine

机译：基于最小二乘支持向量机的混沌时间序列降噪方法研究及应用

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

Not Available

机译：无法使用

著录项

来源
《International Conference on Management and Service Science;MASS 2009》|2009年|1-3|共3页
会议地点 Wuhan/Beijing(CN);Wuhan/Beijing(CN)
作者
Xiang Xiaodong;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类
关键词

相似文献

外文文献
中文文献
专利

1. Developing a Local Least-Squares Support Vector Machines-Based Neuro-Fuzzy Model for Nonlinear and Chaotic Time Series Prediction [J] . Miranian A., Abdollahzade M. Neural Networks and Learning Systems, IEEE Transactions on . 2013,第2期

机译：为非线性和混沌时间序列预测开发基于局部最小二乘支持向量机的神经模糊模型
2. A Sense of Least Squares Support Vector Machine Chaotic Time Series Prediction Algorithm [J] . Weijun Chen, Xianhua Jin Journal of Residuals Science & Technology . 2016,第8期

机译：最小二乘支持向量机混沌时间序列预测算法
3. Chaotic time series prediction using least squares support vector machines [J] . Ye Mei-Ying, Wang Xiao-Dong Chinese physics . 2004,第4期

机译：使用最小二乘支持向量机的混沌时间序列预测
4. Research on Noise Reduction Method for Chaotic Time Series and Its Application Based on Least Square Support Vector Machine [C] . Xiang Xiaodong International Conference on Management and Service Science . 2009

机译：混沌时间序列降噪方法及其应用基于最小二乘支持向量机的应用
5. Chaotic time series analysis: Prediction and noise reduction. [D] . Sidorowich, John J. 1990

机译：混沌时间序列分析：预测和降噪。
6. Artificial Intelligence Based Methods for Asphaltenes Adsorption by Nanocomposites: Application of Group Method of Data Handling Least Squares Support Vector Machine and Artificial Neural Networks [O] . Mohammad Sadegh Mazloom, Farzaneh Rezaei, Abdolhossein Hemmati-Sarapardeh, 2020

机译：基于人工智能的纳米复合材料吸附沥青质的方法：数据处理最小二乘支持向量机和人工神经网络的分组方法的应用
7. Study on Prediction of Chaotic Time Series Using Least Squares Support Vector Machines [O] . 2016

机译：基于最小二乘支持向量机的混沌时间序列预测研究

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