CSpace

浏览/检索结果: 共3条,第1-3条 帮助

已选(0)清除 条数/页:   排序方式:
Application of decomposition-ensemble learning paradigm with phase space reconstruction for day-ahead PM2.5 concentration forecasting 期刊论文
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2017, 卷号: 196, 页码: 110-118
作者:  Niu, Mingfei;  Gan, Kai;  Sun, Shaolong;  Li, Fengying
收藏  |  浏览/下载:143/0  |  提交时间:2018/07/30
PM2.5 concentration forecasting  Decomposition-ensemble learning paradigm  EEMD  PSR  LSSVM  
Credit risk evaluation using a weighted least squares SVM classifier with design of experiment for parameter selection 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2011, 卷号: 38, 期号: 12, 页码: 15392-15399
作者:  Yu, Lean;  Yao, Xiao;  Wang, Shouyang;  Lai, K. K.
收藏  |  浏览/下载:135/0  |  提交时间:2018/07/30
Credit risk evaluation  Weighted LSSVM classifier  Least squares algorithm  Design of experiment  Parameter selection  
Evolving Least Squares Support Vector Machines for Stock Market Trend Mining 期刊论文
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2009, 卷号: 13, 期号: 1, 页码: 87-102
作者:  Yu, Lean;  Chen, Huanhuan;  Wang, Shouyang;  Lai, Kin Keung
收藏  |  浏览/下载:137/0  |  提交时间:2018/07/30
Artificial neural networks (ANNs)  evolutionary algorithms (EAs)  feature selection  genetic algorithm (GA)  least squares support vector machine (LSSVM)  mixed kernel  parameter optimization  statistical models  stock market trend mining