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西安交通大学 [14]
兰州理工大学 [7]
数学与系统科学研究院 [7]
武汉大学 [7]
大连理工大学 [6]
计算技术研究所 [5]
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期刊论文 [73]
会议论文 [15]
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How to capture tourists' search behavior in tourism forecasts? A two-stage feature selection approach
期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 213, 页码: 9
作者:
Sun, Shaolong
;
Hu, Mengyuan
;
Wang, Shouyang
;
Zhang, Chengyuan
收藏
  |  
浏览/下载:190/0
  |  
提交时间:2023/02/07
Tourism demand forecasting
Search engine data
Two -stage feature selection
Genetic algorithm
Kernel extreme learning machine
Evaluation of Coalbed Methane Content by Using Kernel Extreme Learning Machine and Geophysical Logging Data
期刊论文
GEOFLUIDS, 2022, 卷号: 2022, 页码: 28
作者:
Guo, Jianhong
;
Zhang, Zhansong
;
Guo, Guangshan
;
Xiao, Hang
;
Zhu, Linqi
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  |  
浏览/下载:3/0
  |  
提交时间:2022/11/17
基于KELM与PSO-LSSVM组合核方法的风电功率区间预测研究
期刊论文
自动化与仪表, 2022, 卷号: 37, 期号: 04, 页码: 10-14+20
作者:
郝晓弘
;
薛泽华
;
裴婷婷
;
田岭峰
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  |  
浏览/下载:6/0
  |  
提交时间:2022/06/21
风电功率区间预测
混合核密度估计
熵权法
组合核方法
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
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  |  
浏览/下载:192/0
  |  
提交时间:2022/04/29
Daily tourism volume forecasting
decomposition ensemble approach
sample entropy
kernel extreme learning machine
multi-kernel adaptive strategy
Mixture Correntropy-Based Kernel Extreme Learning Machines
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 811-825
作者:
Zheng, Yunfei
;
Chen, Badong
;
Wang, Shiyuan
;
Wang, Weiqun
;
Qin, Wei
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  |  
浏览/下载:40/0
  |  
提交时间:2022/03/17
Kernel
Optimization
Learning systems
Robustness
Support vector machines
Mean square error methods
Extreme learning machine (ELM)
kernel method
mixture correntropy
online learning
A novel machine learning-based electricity price forecasting model based on optimal model selection strategy
期刊论文
ENERGY, 2022, 卷号: 238, 页码: 14
作者:
Yang, Wendong
;
Sun, Shaolong
;
Hao, Yan
;
Wang, Shouyang
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  |  
浏览/下载:13/0
  |  
提交时间:2022/04/02
Electricity price
Forecasting
Hybrid model
Model selection
Kernel-based extreme learning machine
Tourism demand forecasting: An ensemble deep learning approach
期刊论文
TOURISM ECONOMICS, 2021, 页码: 29
作者:
Sun, Shaolong
;
Li, Yanzhao
;
Guo, Ju-e
;
Wang, Shouyang
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  |  
浏览/下载:78/0
  |  
提交时间:2021/10/26
bagging
economic variables
ensemble deep learning
search intensity index
stacked autoencoder
tourism demand forecasting
A hybrid method for short-term wind speed forecasting based on Bayesian optimization and error correction
期刊论文
JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2021, 卷号: 13, 期号: 3
作者:
Guo, Xiuting
;
Zhu, Changsheng
;
Hao, Jie
;
Zhang, Shengcai
;
Zhu, Lina
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  |  
浏览/下载:14/0
  |  
提交时间:2021/10/14
Error correction
Forecasting
Machine learning
Speed
Wavelet transforms
Wind power
Bayesian optimization algorithms
Error correction models
Extreme learning machine
Hyper-parameter optimizations
Large-scale wind power
Prediction performance
Short-term wind speed forecasting
Wind speed prediction
Slope reliability evaluation based on multi-objective grey wolf optimization-multi-kernel-based extreme learning machine agent model
期刊论文
Bulletin of Engineering Geology and the Environment, 2021, 卷号: 80, 期号: 3, 页码: 2011-2024
作者:
Ling, Qing
;
Zhang, Qin
;
Wei, Yuming
;
Kong, Lingjie
;
Zhu, Li
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2021/03/02
Geotechnical engineering
Knowledge acquisition
Landslides
Machine learning
Multiobjective optimization
Reliability analysis
Risk assessment
Coefficient of variation
Computational performance
Extreme learning machine
Machine learning methods
Probabilistic evaluation
Response surface method
Strength reduction method
Traditional techniques
Prediction of landslide displacement using multi-kernel extreme learning machine and maximum information coefficient based on variational mode decomposition: a case study in Shaanxi, China
期刊论文
NATURAL HAZARDS, 2021, 卷号: 108, 期号: 1, 页码: 925-946
作者:
Ling, Qing
;
Zhang, Qin
;
Zhang, Jing
;
Kong, Lingjie
;
Zhang, Weiqi
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2021/06/03
Kernel extreme learning machine
Kernel functions
Variational mode decomposition
Maximum information coefficient
Displacement prediction
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