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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:281/0
  |  
提交时间:2023/02/07
Tourism demand forecasting
Search engine data
Two -stage feature selection
Genetic algorithm
Kernel extreme learning machine
A Data-Driven Rutting Depth Short-Time Prediction Model With Metaheuristic Optimization for Asphalt Pavements Based on RIOHTrack
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1918-1932
作者:
Zhuoxuan Li
;
Iakov Korovin
;
Xinli Shi
;
Sergey Gorbachev
;
Nadezhda Gorbacheva
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2023/09/07
Extreme learning machine algorithm with residual correction (RELM), metaheuristic optimization
oil-gas transportation
RIOHTrack
rutting depth
IMPROVING MULTI-STEP AHEAD TOURISM DEMAND FORECASTING: A STRATEGY-DRIVEN APPROACH
期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 210, 页码: 34
作者:
Sun, Shaolong
;
Du, Zongjuan
;
Zhang, Chengyuan
;
Wang, Shouyang
收藏
  |  
浏览/下载:276/0
  |  
提交时间:2023/02/07
Tourism demand forecasting
Multi-step ahead strategies
MIMO
DIRMO
Extreme learning machine
Determination of soil pH from Vis-NIR spectroscopy by extreme learning machine and variable selection: A case study in lime concretion black soil
期刊论文
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2022, 卷号: 283
作者:
Wang, Liusan
;
Wang, Rujing
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  |  
浏览/下载:20/0
  |  
提交时间:2022/12/23
VIS-NIR spectroscopy
Soil pH
Lime concretion black soil
Extreme learning machine
Variable selection
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:285/0
  |  
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:50/0
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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 transfer weighted extreme learning machine for imbalanced classification
期刊论文
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2022, 页码: 1-21
作者:
Guo YN(郭一楠)
;
Jiao BT(焦博韬)
;
Tan, Ying
;
Zhang, Pei
;
Tang FZ(唐凤珍)
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  |  
浏览/下载:26/0
  |  
提交时间:2022/05/15
class imbalance learning
cost-sensitive learning
domain adaptation
extreme learning machine
transfer 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
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/04/02
Electricity price
Forecasting
Hybrid model
Model selection
Kernel-based extreme learning machine
Sliding Mode Control for Hypersonic Vehicle Based on Extreme Learning Machine Neural Network Disturbance Observer
期刊论文
IEEE Access, 2022, 卷号: 10, 页码: 69333-69345
作者:
Gao, Haiyan
;
Tang, Weiqiang
;
Fu, Rong
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2022/08/09
Altitude control
Control theory
Hypersonic aerodynamics
Hypersonic vehicles
Knowledge acquisition
Learning systems
Navigation
Network layers
Sliding mode control
Disturbance observer
Extreme learning machine
Learning machines
Network disturbances
Neural network disturbance observer
Neural-networks
Offset-free tracking
Sliding-mode control
Uncertainty
Vehicle's dynamics
Multi-step metal prices forecasting based on a data preprocessing method and an optimized extreme learning machine by marine predators algorithm
期刊论文
RESOURCES POLICY, 2021, 卷号: 74, 页码: 10
作者:
Du, Pei
;
Guo, Ju'e
;
Sun, Shaolong
;
Wang, Shouyang
;
Wu, Jing
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/04/02
Metal prices forecasting
Data processing method
Optimized extreme learning machine
Hybrid forecasting model
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