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Forecasting daily tourism volume: a hybrid approach with CEMMDAN and multi-kernel adaptive ensemble 期刊论文
CURRENT ISSUES IN TOURISM, 2022, 页码: 20
作者:  Zhao, Erlong;  Du, Pei;  Azaglo, Ernest Young;  Wang, Shouyang;  Sun, Shaolong
收藏  |  浏览/下载：169/0  |  提交时间：2022/04/29
Daily tourism volume forecasting  decomposition ensemble approach  sample entropy  kernel extreme learning machine  multi-kernel adaptive strategy  
Forecasting tourist arrivals with machine learning and internet search index 期刊论文
TOURISM MANAGEMENT, 2019, 卷号: 70, 页码: 1-10
作者:  Sun, Shaolong;  Wei, Yunjie;  Tsui, Kwok-Leung;  Wang, Shouyang
收藏  |  浏览/下载：184/0  |  提交时间：2019/01/11
Tourism demand forecasting  Kernel extreme learning machine  Search query data  Big data analytics  Composite search index  
Crude oil price forecasting based on internet concern using an extreme learning machine 期刊论文
INTERNATIONAL JOURNAL OF FORECASTING, 2018, 卷号: 34, 期号: 4, 页码: 665-677
作者:  Wang, Jue;  Athanasopoulos, George;  Hyndman, Rob J.;  Wang, Shouyang
收藏  |  浏览/下载：185/0  |  提交时间：2018/11/16
Crude oil futures price  Internet concern  BEMD  ELM  
Assessing Potentiality of Support Vector Machine Method in Crude Oil Price Forecasting 期刊论文
EURASIA JOURNAL OF MATHEMATICS SCIENCE AND TECHNOLOGY EDUCATION, 2017, 卷号: 13, 期号: 12, 页码: 7893-7904
作者:  Yu, Lean;  Zhang, Xun;  Wang, Shouyang
收藏  |  浏览/下载：188/0  |  提交时间：2018/07/30
support vector machines  artificial neural networks  ARIMA model  ARFIMA model  Markov-switching ARFIMA model  
Robust Novelty Detection via Worst Case CVaR Minimization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 9, 页码: 2098-2110
作者:  Wang, Yongqiao;  Dang, Chuangyin;  Wang, Shouyang
收藏  |  浏览/下载：117/0  |  提交时间：2018/07/30
Conditional value-at-risk (CVaR)  kernel methods  novelty detection  robust programming  single-class support vector machine (SSVM)  
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：111/0  |  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：102/0  |  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  
Nonlinear clustering-based support vector machine for large data sets 期刊论文
OPTIMIZATION METHODS & SOFTWARE, 2008, 卷号: 23, 期号: 4, 页码: 533-549
作者:  Wang, Yongqiao;  Zhang, Xun;  Wang, Souyang;  Lai, K. K.
收藏  |  浏览/下载：112/0  |  提交时间：2018/07/30
classification  kernel clustering  support vector machine  active learning  
A novel support vector machine metamodel for business risk identification 期刊论文
PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2006, 卷号: 4099, 页码: 980-984
作者:  Lai, Kin Keung;  Yu, Lean;  Huang, Wei;  Wang, Shouyang
收藏  |  浏览/下载：81/0  |  提交时间：2018/07/30
A new method for crude oil price forecasting based on support vector machines 期刊论文
COMPUTATIONAL SCIENCE - ICCS 2006, PT 4, PROCEEDINGS, 2006, 卷号: 3994, 页码: 444-451
作者:  Xie, Wen;  Yu, Lean;  Xu, Shanying;  Wang, Shouyang
收藏  |  浏览/下载：89/0  |  提交时间：2018/07/30