Hybrid SVMR-GPR for modeling of chaotic time series systems with noise and outliers.


https://doi.org/10.1016/j.neucom.2009.12.028
@article{DBLP:journals/ijon/JengCT10, author = {Jin{-}Tsong Jeng and Chen{-}Chia Chuang and Chin{-}Wang Tao}, title = {Hybrid {SVMR-GPR} for modeling of chaotic time series systems with noise and outliers}, journal = {Neurocomputing}, volume = {73}, number = {10-12}, pages = {1686--1693}, year = {2010}, url = {https://doi.org/10.1016/j.neucom.2009.12.028}, doi = {10.1016/j.neucom.2009.12.028}, timestamp = {Sat, 20 May 2017 00:24:58 +0200}, biburl = {https://dblp.org/rec/journals/ijon/JengCT10.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }

本页面没有标签
本页面最近更新:2020/05/21更新历史
发现错误?想一起完善? 在 GitHub 上编辑此页!
本页面的全部内容在 CC BY-SA 4.0 SATA 协议之条款下提供,附加条款亦可能应用

Copyright © 2016 - 2020 PKU Scholar

最近更新: 52aade4, 2020-05-21