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大连理工大学 [4]

西安交通大学 [3]

自动化研究所 [2]

厦门大学 [1]

兰州理工大学 [1]

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	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：14/0 \| 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
	Video Super-Resolution via Bidirectional Recurrent Convolutional Networks 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2018, 卷号: 40, 期号: 4, 页码: 1015-1028 作者: Huang, Yan; Wang, Wei; Wang, Liang 收藏 \| 浏览/下载：38/0 \| 提交时间：2017/06/19 Deep Learning Recurrent Neural Networks 3d Convolution Video Super-resolution
	Adaptive Approximation-Based Regulation Control for a Class of Uncertain Nonlinear Systems Without Feedback Linearizability 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 页码: 3747-3760 作者: Wang, Ning; Sun, Jing-Chao; Han, Min; Zheng, Zhongjiu; Er, Meng Joo 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/02 Adaptive approximation single-hidden-layer feedforward network (SLFN) uncertain nonlinear system without feedback linearizability unknown dynamics
	An effective hierarchical extreme learning machine based multimodal fusion framework 期刊论文 Neurocomputing, 2018, 卷号: 322, 页码: 141-150 作者: Du, Fang; Zhang, Jiangshe; Ji, Nannan; Shi, Guang; Zhang, Chunxia 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/11/26 Classification performance Extreme learning machine Feature classification Learning efficiency Multi-modal fusion Multi-modal learning Proposed architectures Single-hidden layer feedforward neural networks
	改进人工蜂群优化的极限学习机期刊论文传感器与微系统, 2018, 卷号: 37, 期号: 4, 页码: 116-120 作者: 毛羽[1]; 毛力[2]; 杨弘[3]; 肖炜[4] 收藏 \| 浏览/下载：3/0 \| 提交时间：2020/01/02 人工蜂群算法极限学习机单隐含层前馈神经网络 artificial bee colony（ABC）algorithm extreme learning machine single hidden layer feedforward neural networks
	Extreme learning machine with kernel model based on deep learning 期刊论文 NEURAL COMPUTING & APPLICATIONS, 2017, 卷号: 28, 期号: 8, 页码: 1975-1984 作者: Ding, Shifei; Guo, Lili; Hou, Yanlu 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/12/12 Extreme learning machine (ELM) Deep-learning (DL) Convolutional neural network (CNN) CKELM
	Error estimation in high-throughput density functional theory calculation for material property: elastic constants of cubic binary alloy case 期刊论文 Computational materials science, 2017, 卷号: 134, 页码: 190-200 作者: Wang, Juan; Yang, Xiaoyu; Wang, Guisheng; Ren, Jie; Wang, Zongguo 收藏 \| 浏览/下载：36/0 \| 提交时间：2019/05/09 High-throughput dft calculation Error estimation Neural network Cross validation Support vector regression
	A new deep neural network based on a stack of single-hidden-layer feedforward neural networks with randomly fixed hidden neurons 期刊论文 NEUROCOMPUTING, 2016, 卷号: 171, 期号: [db:dc_citation_issue], 页码: 63-72 作者: Hu, Junying; Zhang, Jiangshe; Zhang, Chunxia; Wang, Juan 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/02 Single-hidden layer feedforward neural network Stackable structure Embedding Unsupervised learning Manifold regularization
	Generalized Single-Hidden Layer Feedforward Networks for Regression Problems 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 页码: 1161-1176 作者: Wang, Ning; Er, Meng Joo; Han, Min 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/09 Approximation capability extreme learning machine (ELM) generalized single-hidden layer feedforward networks (GSLFN) polynomial output weights ridge regression
	Neural-network-based approach to finite-time optimal control for a class of unknown nonlinear systems 期刊论文 SOFT COMPUTING, 2014, 卷号: 18, 期号: 8, 页码: 1645-1653 作者: Song, Ruizhuo; Xiao, Wendong; Wei, Qinglai; Sun, Changyin 收藏 \| 浏览/下载：18/0 \| 提交时间：2015/08/12 Adaptive dynamic programming Approximate dynamic programming Unknown nonlinear systems Optimal control Data-based

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