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大连理工大学 [22]

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限定条件	专题：大连理工大学第一署名单位第一作者单位通讯作者单位

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	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
	Aero-engine Starting Performance Parameters Prediction Based on AdaBoost.RT_ELM Algorithm 会议论文 2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018-01-01 作者: Liu, Min; Wang, Rui; Zhang, Shuo 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/02 aero-engine performance parameter AdaBoost.RT algorithm extreme learning machine information fusion phase space reconstruction
	Forecasting Daily Runoff by Extreme Learning Machine Based on Quantum-Behaved Particle Swarm Optimization 期刊论文 JOURNAL OF HYDROLOGIC ENGINEERING, 2018, 卷号: 23, 页码: - 作者: Niu, Wen-jing; Feng, Zhong-kai; Cheng, Chun-tian; Zhou, Jian-zhong 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/02 Hydrologic time series Daily runoff prediction Extreme learning machine (ELM) Quantum-behaved particle swarm optimization (QPSO) Artificial neural network
	Length-Changeable Incremental Extreme Learning Machine 期刊论文 JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2017, 卷号: 32, 页码: 630-643 作者: Wu, You-Xi; Liu, Dong; Jiang, He 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/02 single-hidden-layer feed-forward network (SLFN) incremental extreme learning machine (I-ELM) random hidden node convergence rate universal approximation
	Multivariate Chaotic Time Series Prediction Based on ELM-PLSR and Hybrid Variable Selection Algorithm 期刊论文 NEURAL PROCESSING LETTERS, 2017, 卷号: 46, 页码: 705-717 作者: Han, Min; Zhang, Ruiquan; Xu, Meiling 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/03 Variable selection Extreme learning machine Partial least square regression Multivariate chaotic time series
	Industrial Oil Pipeline Leakage Detection Based on Extreme Learning Machine Method 会议论文 ADVANCES IN NEURAL NETWORKS, PT II, 2017-01-01 作者: Zhang, Honglue; Li, Qi; Zhang, Xiaoping; Ba, Wei 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/03 Pipeline leak detection ELM Neural networks Signals classification
	Multi-step prediction of strong earthquake ground motions and seismic responses of SDOF systems based on EMD-ELM method 期刊论文 SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2016, 卷号: 85, 页码: 117-129 作者: Yang, Dixiong; Yang, Kaisheng 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/12/09 Earthquake ground motions Time series prediction Multi-step prediction Empirical mode decomposition Extreme learning machine Seismic responses of SDOF systems
	Local extreme learning machine: local classification model for shape feature extraction 期刊论文 NEURAL COMPUTING & APPLICATIONS, 2016, 卷号: 27, 页码: 2095-2105 作者: Zhang, Jing; Feng, Lin; Wu, Bin 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/09 Extreme learning machine (ELM) Local extreme learning machine (LELM) Feature point Image retrieval
	Remote Sensing Image Transfer Classification Based on Weighted Extreme Learning Machine 期刊论文 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2016, 卷号: 13, 页码: 1405-1409 作者: Zhou, Yang; Lian, Jie; Han, Min 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/09 Extreme learning machine (ELM) image classification remote sensing transfer learning weighted least square
	FP-ELM: An online sequential learning algorithm for dealing with concept drift 期刊论文 NEUROCOMPUTING, 2016, 卷号: 207, 页码: 322-334 作者: Liu, Dong; Wu, YouXi; Jiang, He 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/09 Extreme learning machine Online/incremental learning Concept drift Regularized optimization method

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