中文版 | English

在结果中检索

CASISD OpenIR

浏览/检索结果: 共26条，第1-10条 帮助

限定条件            
已选(0)清除 条数/页：   排序方式：
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：158/0  |  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：240/0  |  提交时间：2021/01/26
Multi-objective optimization  Ensemble forecasting  Machine learning  Evolutionary algorithm  Baltic Dry Index  
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：169/0  |  提交时间：2021/01/17
Forecasting China's natural gas demand based on optimised nonlinear grey models 期刊论文
ENERGY, 2017, 期号: 140, 页码: 941-951
作者:  Shaikh, Faheemullah;  Ji, Qiang;  Shaikh, Pervez Hameed;  Mirjat, Nayyar Hussain;  Uqaili, Muhammad Aslam
Adobe PDF(662Kb)  |  收藏  |  浏览/下载：288/0  |  提交时间：2018/06/08
Forecasting natural gas demand in China: Logistic modelling analysis 期刊论文
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2016, 卷号: 77, 期号: 1, 页码: 25-32
作者:  Shaikh Faheemullah;  Ji Qiang
Adobe PDF(662Kb)  |  收藏  |  浏览/下载：281/0  |  提交时间：2017/08/30
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：223/0  |  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：650/4  |  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：671/7  |  提交时间：2012/11/12
Nuclear Energy Consumption Forecasting  Hybrid Ensemble Learning Paradigm  Ensemble Empirical Mode Decomposition  
The low carbon development (LCD) levels' evaluation of the world's 47 countries (areas) by combining the FAHP with the TOPSIS method 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2012, 卷号: 39, 期号: 7, 页码: 13,6628-6640
作者:  Jia, JS;  Fan, Y;  Guo, XD
Adobe PDF(712Kb)  |  收藏  |  浏览/下载：555/2  |  提交时间：2012/11/12
Low Carbon Development Level  Fahp  Topsis  
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：484/3  |  提交时间：2012/11/12
Hydropower Consumption Forecasting  Lssvr Ensemble Learning  Seasonal Decomposition