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数学与系统科学研究院 [4]

兰州理工大学 [3]

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北京航空航天大学 [1]

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	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 收藏 \| 浏览/下载：6/0 \| 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; 田岭峰收藏 \| 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 收藏 \| 浏览/下载：211/0 \| 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 收藏 \| 浏览/下载：42/0 \| 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
	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
	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) 收藏 \| 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 novel classification method based on ICGOA-KELM for fault diagnosis of rolling bearing 期刊论文 Applied Intelligence, 2020, 卷号: 50, 期号: 无, 页码: 2833-2847 作者: Peng Chen; Xiaoqiang Zhao; Qixian Zhu 收藏 \| 浏览/下载：14/0 \| 提交时间：2020/11/06 Chaotic systems Computer aided diagnosis Damage detection Failure analysis Fault detection Machine learning Optimization Extreme learning machine Fault detection and classification Global searching ability Heuristic optimization algorithms ICGOA- KELM Intrinsic Mode functions Optimization algorithms Rolling bearings
	A Clustering-Based Nonlinear Ensemble Approach for Exchange Rates Forecasting 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 卷号: 50, 期号: 6, 页码: 2284-2292 作者: Sun, Shaolong; Wang, Shouyang; Wei, Yunjie; Zhang, Guowei 收藏 \| 浏览/下载：19/0 \| 提交时间：2020/06/30 Forecasting Exchange rates Predictive models Self-organizing feature maps Clustering algorithms exchange rates forecasting kernel-based extreme learning machine (KELM) nonlinear ensemble
	Determination of influential parameters for prediction of total sediment loads in mountain rivers using kernel-based approaches 期刊论文 JOURNAL OF MOUNTAIN SCIENCE, 2020, 卷号: 17, 期号: 2, 页码: 480-491 作者: Roushangar, Kiyoumars; Shahnazi, Saman 收藏 \| 浏览/下载：13/0 \| 提交时间：2020/11/11 Total sediment loads Support vector machine Gaussian process regression Kernel extreme learning machine Mountain Rivers
	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：49/0 \| 提交时间：2019/01/11 Tourism demand forecasting Kernel extreme learning machine Search query data Big data analytics Composite search index

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