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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:7/0
  |  
提交时间:2023/09/07
Extreme learning machine algorithm with residual correction (RELM), metaheuristic optimization
oil-gas transportation
RIOHTrack
rutting depth
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
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2022/12/23
VIS-NIR spectroscopy
Soil pH
Lime concretion black soil
Extreme learning machine
Variable selection
Extreme learning machine and genetic algorithm in quantitative analysis of sulfur hexafluoride by infrared spectroscopy
期刊论文
APPLIED OPTICS, 2022, 卷号: 61, 期号: 10, 页码: 2834-2841
作者:
Liu, Huan
;
Zhu, Jun
;
Yin, Huan
;
Yan, Qiangqiang
;
Liu, Hong
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  |  
浏览/下载:30/0
  |  
提交时间:2022/04/22
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)
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2022/05/15
class imbalance learning
cost-sensitive learning
domain adaptation
extreme learning machine
transfer learning
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
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  |  
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
Evaluation of Three Different Machine Learning Methods for Object-Based Artificial Terrace Mapping-A Case Study of the Loess Plateau, China
期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 5
作者:
Ding, Hu
;
Na, Jiaming
;
Jiang, Shangjing
;
Zhu, Jie
;
Liu, Kai
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2022/03/10
Short-Term Photovoltaic Power Interval Prediction Based on VMD and GOA-KELM Algorithms
会议论文
Chengdu, China, May 7-10, 2021
作者:
Sun, Wenxuan
;
Wang AN(王安娜)
;
Zhang T(张涛)
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  |  
浏览/下载:6/0
  |  
提交时间:2022/04/23
photovoltaic power prediction
variational mode decomposition
grasshopper optimization algorithm
kernel extreme learning machine
interval prediction
A Real-Time BOD Estimation Method in Wastewater Treatment Process Based on an Optimized Extreme Learning Machine
期刊论文
APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 3
作者:
Yu, Ping
;
Cao, Jie
;
Jegatheesan, Veeriah
;
Du, Xianjun
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  |  
浏览/下载:0/0
  |  
提交时间:2019/11/15
Biochemical oxygen demand (BOD)
cuckoo search algorithm (CSA)
extreme learning machine (ELM)
soft sensor
wastewater treatment process
Operation rule derivation of hydropower reservoir by k-means clustering method and extreme learning machine based on particle swarm optimization
期刊论文
JOURNAL OF HYDROLOGY, 2019, 卷号: 576, 页码: 229-238
作者:
Feng, Zhong-kai
;
Niu, Wen-jing
;
Zhang, Rui
;
Wang, Sen
;
Cheng, Chun-tian
收藏
  |  
浏览/下载:57/0
  |  
提交时间:2019/08/15
Hydropower reservoir
Operation rule derivation
k-Means clustering
Extreme learning machine
Particle swarm optimization
Forecasting reservoir monthly runoff via ensemble empirical mode decomposition and extreme learning machine optimized by an improved gravitational search algorithm
期刊论文
APPLIED SOFT COMPUTING, 2019, 卷号: 82
作者:
Niu, Wen-jing
;
Feng, Zhong-kai
;
Zeng, Ming
;
Feng, Bao-fei
;
Min, Yao-wu
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2019/12/02
Monthly streamflow prediction
Ensemble empirical mode decomposition (EEMD)
Extreme learning machine (ELM)
Improved gravitational search algorithm (IGSA)
Mutation and selection operators
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