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大连理工大学 [2]

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兰州理工大学 [1]

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	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：50/0 \| 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
	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
	Deep diagnostics and prognostics: An integrated hierarchical learning framework in PHM applications 期刊论文 APPLIED SOFT COMPUTING, 2018, 卷号: 72, 页码: 555-564 作者: Lin, Yanhui; Li, Xudong; Hu, Yang 收藏 \| 浏览/下载：17/0 \| 提交时间：2018/12/11 Feature learning Auto-encoder Extreme learning machines Prognostics and health management Motor bearing Turbofan engine
	Novel Method Based on Variational Mode Decomposition and a Random Discriminative Projection Extreme Learning Machine for Multiple Power Quality Disturbance Recognition 期刊论文 IEEE Transactions on Industrial Informatics, 2018 作者: Zhao, Chen; Kaicheng, Li; Li, Yuanzheng; Wang, Lingyun; Luo, Yi 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/11/19 Classification Computational modeling Discriminative Projection Electronic mail Extreme learning machine Feature extraction Multi-label Multiple power quality disturbance Neural networks Power quality Prediction algorithms Support vector machines Variational mode decomposition
	Deep diagnostics and prognostics: An integrated hierarchical learning framework in PHM applications 期刊论文 APPLIED SOFT COMPUTING, 2018, 卷号: 72, 页码: 555-564 作者: Lin, Yanhui; Li, Xudong; Hu, Yang 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/30 Feature learning Auto-encoder Extreme learning machines Prognostics and health management Motor bearing Turbofan engine
	Hierarchical Neural Networks for Multivariate Time Series Prediction 会议论文 35th Chinese Control Conference (CCC), Chengdu, PEOPLES R CHINA, 2016-07-27 作者: Xu, Meiling; Han, Min; Wang, Xinying 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/09 Multivariate time series simple cycle reservoirs extreme learning machines prediction
	An efficient active set method for optimization extreme learning machines 期刊论文 2016, 卷号: 174, 页码: 187-193 作者: Zhao, Ming-hua; Ding, Xiao-feng; Shi, Zheng-hao; Yao, Quan-zhu; Yuan, Yong-qin 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/20 Optimization extreme learning machines Quadratic programming Active set Piecewise projected gradient
	Fast Forecasting Method for Fluctuating Wind Velocity Based on Extreme Learning Machine 期刊论文 Journal of Shanghai Jiaotong University, 2016, 卷号: Vol.50 No.11, 页码: 1719-1723 作者: Li, Chunxiang; Chi, Ennan; Li, Zhennong 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/31 extreme learning machines fluctuating wind velocity forecasting least squares support vector machines error back-propagation neural network(BP)
	A hybrid BCI based on EEG and fNIRS signals improves the performance of decoding motor imagery of both force and speed of hand clenching 期刊论文 JOURNAL OF NEURAL ENGINEERING, 2015, 卷号: 12, 期号: 3 作者: Yin XX(尹旭贤); Xu BL(徐保磊); Jiang ZH(蒋长好); Fu YF(伏云发); Wang ZD(王志东) 收藏 \| 浏览/下载：65/0 \| 提交时间：2015/07/05 EEG-fNIRS hand clenching force and speed motor imagery joint mutual information (JMI) extreme learning machines (ELMs)
	Four wind speed multi-step forecasting models using extreme learning machines and signal decomposing algorithms 期刊论文 Energy Conversion and Management, 2015, 卷号: 100, 页码: 16-22 作者: Liu, Hui*; Tian, Hong-Qi; Li, Yan-Fei 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/03 WD Wave let Decomposition WPD Wavelet Packet Decomposition EMD Empirical Mode Decomposition EEMD Ensemble Empirical Mode Decomposition FEEMD Fast Ensemble Empirical Mode Decomposition MLP Multi Layer Perceptron ANFIS Adaptive Network-based Fuzzy Inference System BP Back Propagation GA Genetic Algorithm PSO Particle Swarm Optimization EA Evolutionary Algorithm AA Adaboost Algorithm ARIMA Autoregressive Integrated Moving Average SLFNN Single-hidden Layer Feed-forward Neural Networks MAE Mean Absolute Error MAPE Mean Absolute Percentage Error RMSE Root Mean Square Error Wind energy Wind speed forecasting Wind speed decomposition Wavelet Extreme learning machines Empirical mode decomposition

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