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Forecasting annual natural gas consumption via the application of a novel hybrid model 期刊论文
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 卷号: 28, 期号: 17, 页码: 21411
作者:  Gao, Feng;  Shao, Xueyan
Adobe PDF(996Kb)  |  收藏  |  浏览/下载：147/0  |  提交时间：2022/02/10
Optimal selection of heterogeneous ensemble strategies of time series forecasting with multi-objective programming 期刊论文
Expert Systems with Applications, 2021, 卷号: 166, 页码: 114091
作者:  Jianping Li;  Jun Hao;  Qianqian Feng;  Xiaolei Sun;  Mingxi Liu
Adobe PDF(1654Kb)  |  收藏  |  浏览/下载：230/0  |  提交时间：2021/01/26
Multi-objective optimization  Ensemble forecasting  Machine learning  Evolutionary algorithm  Baltic Dry Index  
Forecasting residential electricity consumption using a hybrid machine learning model with online search data 期刊论文
Applied Energy, 2021, 期号: 300, 页码: 1-13
作者:  Gao Feng;  Chi Hong;  Shao Xueyan
收藏  |  浏览/下载：172/0  |  提交时间：2022/03/01
Residential electricity consumption forecasting  Online search data  Extreme learning machine  Jaya  
An approach for understanding offender modus operandi to detect serial robbery crimes. 期刊论文
Journal of Computational Science, 2019, 期号: 7, 页码: 1-12
作者:  Yu-Sheng Li;  Ming-Liang Qi
Adobe PDF(2311Kb)  |  收藏  |  浏览/下载：156/0  |  提交时间：2021/01/17
CoFea: A Novel Approach to Spam Review Identification Based on Entropy and Co-Training 期刊论文
ENTROPY, 2016, 卷号: 18, 期号: 12, 页码: 429
作者:  Zhang Wen;  Bu Chaoqi;  Yoshida Taketoshi;  Zhang Siguang
Adobe PDF(815Kb)  |  收藏  |  浏览/下载：212/0  |  提交时间：2017/08/30
Evolution strategy based adaptive L-q penalty support vector machines with Gauss kernel for credit risk analysis 期刊论文
APPLIED SOFT COMPUTING, 2012, 卷号: 12, 期号: 8, 页码: 8,2675-2682
作者:  Li, JP;  Li, G;  Sun, DX;  Lee, CF
Adobe PDF(505Kb)  |  收藏  |  浏览/下载：637/4  |  提交时间：2012/11/12
Adaptive Penalty  Support Vector Machine  Credit Risk Classification  Evolution Strategy  
A novel hybrid ensemble learning paradigm for nuclear energy consumption forecasting 期刊论文
APPLIED ENERGY, 2012, 卷号: 93, 期号: 1, 页码: 12,432-443
作者:  Tang, L;  Yu, LA;  Wang, S;  Li, JP;  Wang, SY
Adobe PDF(913Kb)  |  收藏  |  浏览/下载：658/7  |  提交时间：2012/11/12
Nuclear Energy Consumption Forecasting  Hybrid Ensemble Learning Paradigm  Ensemble Empirical Mode Decomposition  
A novel seasonal decomposition based least squares support vector regression ensemble learning approach for hydropower consumption forecasting in China 期刊论文
ENERGY, 2011, 卷号: 36, 期号: 11, 页码: 13,6542-6554
作者:  Wang, S;  Yu, L;  Tang, L;  Wang, SY
Adobe PDF(913Kb)  |  收藏  |  浏览/下载：473/3  |  提交时间：2012/11/12
Hydropower Consumption Forecasting  Lssvr Ensemble Learning  Seasonal Decomposition  
Multiple-kernel SVM based multiple-task oriented data mining system for gene expression data analysis 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2011, 卷号: 38, 期号: 10, 页码: 9,12151-12159
作者:  Chen, ZY;  Li, JP;  Wei, LW;  Xu, WX;  Shi, Y
Adobe PDF(352Kb)  |  收藏  |  浏览/下载：565/3  |  提交时间：2012/11/12
Support Vector Machine  Multiple-kernel Learning  Feature Selection  Data Fusion  Decision Rule  Associated Rule  Subclass Discovery  Gene Expression  
Evolution strategies based adaptive L-p LS-SVM 期刊论文
INFORMATION SCIENCES, 2011, 卷号: 181, 期号: 14, 页码: 17,3000-3016
作者:  Wei, LW;  Chen, ZY;  Li, JP
Adobe PDF(505Kb)  |  收藏  |  浏览/下载：532/4  |  提交时间：2012/11/12
Adaptive Penalty  Least Squares Support Vector Machine  Classification  Evolution Strategies