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Yonghua Yin
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2020 – today
- 2020
- [j7]Will Serrano, Erol Gelenbe, Yonghua Yin:
The Random Neural Network with Deep Learning Clusters in Smart Search. Neurocomputing 396: 394-405 (2020)
2010 – 2019
- 2019
- [c19]Nachuan Yang, Yonghua Yin, Jinrong Liu:
Positive Consensus of Directed Multi-agent Systems using Dynamic Output-feedback Control. CDC 2019: 897-902 - [c18]Olivier Brun, Yonghua Yin:
Random Neural Networks and Deep Learning for Attack Detection at the Edge. ICFC 2019: 11-14 - [c17]Yonghua Yin, Erol Gelenbe:
Non-negative Autoencoder with Simplified Random Neural Network. IJCNN 2019: 1-6 - 2018
- [j6]Ingrid Grenet, Yonghua Yin, Jean-Paul Comet:
G-Networks to Predict the Outcome of Sensing of Toxicity. Sensors 18(10): 3483 (2018) - [c16]Olivier Brun, Yonghua Yin, Erol Gelenbe, Yasin Murat Kadioglu, Javier Augusto-Gonzalez, Manuel Ramos:
Deep Learning with Dense Random Neural Networks for Detecting Attacks Against IoT-Connected Home Environments. Euro-CYBERSEC 2018: 79-89 - [c15]Olivier Brun, Yonghua Yin, Erol Gelenbe:
Deep Learning with Dense Random Neural Network for Detecting Attacks against IoT-connected Home Environments. FNC/MobiSPC 2018: 458-463 - [c14]Ingrid Grenet, Yonghua Yin, Jean-Paul Comet, Erol Gelenbe:
Machine Learning to Predict Toxicity of Compounds. ICANN (1) 2018: 335-345 - [i3]Yonghua Yin:
Deep Learning with the Random Neural Network and its Applications. CoRR abs/1810.08653 (2018) - 2017
- [c13]Erol Gelenbe, Yonghua Yin:
Deep Learning with Dense Random Neural Networks. ICMMI 2017: 3-18 - [c12]Yonghua Yin, Erol Gelenbe:
Single-cell based random neural network for deep learning. IJCNN 2017: 86-93 - [c11]Yonghua Yin, Lan Wang, Erol Gelenbe:
Multi-layer neural networks for quality of service oriented server-state classification in cloud servers. IJCNN 2017: 1623-1627 - 2016
- [j5]Yunong Zhang, Dechao Chen, Long Jin, Yinyan Zhang, Yonghua Yin:
GD-aided IOL (input-output linearisation) controller for handling affine-form nonlinear system with loose condition on relative degree. Int. J. Control 89(4): 757-769 (2016) - [i2]Yonghua Yin, Erol Gelenbe:
Deep Learning in Multi-Layer Architectures of Dense Nuclei. CoRR abs/1609.07160 (2016) - [i1]Yonghua Yin, Erol Gelenbe:
Nonnegative autoencoder with simplified random neural network. CoRR abs/1609.08151 (2016) - 2015
- [j4]Yunong Zhang, Long Jin, Dongsheng Guo, Yonghua Yin, Yao Chou:
Taylor-type 1-step-ahead numerical differentiation rule for first-order derivative approximation and ZNN discretization. J. Comput. Appl. Math. 273: 29-40 (2015) - [c10]Yonghua Yin:
Line-Search Aided Non-negative Least-Square Learning for Random Neural Network. ISCIS 2015: 181-189 - 2014
- [j3]Yunong Zhang, Xiaotian Yu, Yonghua Yin, Chen Peng, Zhengping Fan:
Singularity-conquering ZG controllers of z2g1 type for tracking control of the IPC system. Int. J. Control 87(9): 1729-1746 (2014) - [j2]Yunong Zhang, Xiaotian Yu, Dongsheng Guo, Yonghua Yin, Zhijun Zhang:
Weights and structure determination of multiple-input feed-forward neural network activated by Chebyshev polynomials of Class 2 via cross-validation. Neural Comput. Appl. 25(7-8): 1761-1770 (2014) - [j1]Yunong Zhang, Yonghua Yin, Dongsheng Guo, Xiaotian Yu, Lin Xiao:
Cross-validation based weights and structure determination of Chebyshev-polynomial neural networks for pattern classification. Pattern Recognit. 47(10): 3414-3428 (2014) - [c9]Yunong Zhang, Ying Wang, Yonghua Yin, Hongzhou Tan, Qingkai Zeng:
Theory and Substantiation of z0g1 Controller Conquering Singularity Problem of Output Tracking for a Class of Nonlinear System. CSE 2014: 83-88 - [c8]Jiawei Luo, Xiaotian Yu, Yonghua Yin, Hongzhou Tan, Yunong Zhang:
Acceleration-level Z2G0 controller for redundant manipulator end-effector tracking. FSKD 2014: 860-865 - 2013
- [c7]Yonghua Yin, Qing Xie, Ying Wang, Dechao Chen, Yunong Zhang:
ZG Control for Ship Course Tracking with Singularity Considered and Solved. DASC 2013: 352-357 - [c6]Yunong Zhang, Chen Peng, Xiaotian Yu, Yonghua Yin, Yingbiao Ling:
ZD and ZG controllers for explicit and implicit tracking of pendulum with singularity finally conquered. ICMLC 2013: 777-782 - [c5]Yunong Zhang, Jinrong Liu, Yonghua Yin, Feiheng Luo, Jianhao Deng:
Zhang-Gradient Controllers of Z0G0, Z1G0 and Z1G1 Types for Output Tracking of Time-Varying Linear Systems with Control-Singularity Conquered Finally. ISNN (2) 2013: 533-540 - [c4]Yunong Zhang, Ying Wang, Yonghua Yin, Long Jin, Dechao Chen:
ZG controllers for output tracking of nonlinear mass-spring-damper mechanical system with division-by-zero problem solved. ROBIO 2013: 1845-1850 - 2012
- [c3]Yunong Zhang, Huarong Wu, Zhijun Zhang, Senbo Fu, Yonghua Yin:
Different-Level Schemes' Equivalence for Self-Motion Planning of Robot Manipulators. AICI 2012: 9-16 - [c2]Yunong Zhang, Wenchao Lao, Yonghua Yin, Lin Xiao, Jinhao Chen:
Weights and structure determination of pruning-while-growing type for 3-input power-activation feed-forward neuronet. ICAL 2012: 212-217 - [c1]Yunong Zhang, Jinhao Chen, Dongsheng Guo, Yonghua Yin, Wenchao Lao:
Growing-type weights and structure determination of 2-input Legendre orthogonal polynomial neuronet. ISIE 2012: 852-857
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