Yonghua Yin

According to our database, Yonghua Yin authored at least 29 papers between 2012 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

The Random Neural Network with Deep Learning Clusters in Smart Search.

Will Serrano, Erol Gelenbe, Yonghua Yin

Neurocomputing, 2020

2019

Non-negative Autoencoder with Simplified Random Neural Network.

Yonghua Yin, Erol Gelenbe

Proceedings of the International Joint Conference on Neural Networks, 2019

Random Neural Networks and Deep Learning for Attack Detection at the Edge.

Olivier Brun, Yonghua Yin

Proceedings of the IEEE International Conference on Fog Computing, 2019

Positive Consensus of Directed Multi-agent Systems using Dynamic Output-feedback Control.

Nachuan Yang, Yonghua Yin, Jinrong Liu

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

G-Networks to Predict the Outcome of Sensing of Toxicity.

Ingrid Grenet, Yonghua Yin, Jean-Paul Comet

Sensors, 2018

Deep Learning with the Random Neural Network and its Applications.

Yonghua Yin

CoRR, 2018

Machine Learning to Predict Toxicity of Compounds.

Ingrid Grenet, Yonghua Yin, Jean-Paul Comet, Erol Gelenbe

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Deep Learning with Dense Random Neural Network for Detecting Attacks against IoT-connected Home Environments.

Olivier Brun, Yonghua Yin, Erol Gelenbe

Proceedings of the 15th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2018) / The 13th International Conference on Future Networks and Communications (FNC-2018) / Affiliated Workshops, 2018

Deep Learning with Dense Random Neural Networks for Detecting Attacks Against IoT-Connected Home Environments.

Olivier Brun, Yonghua Yin, Erol Gelenbe, Yasin Murat Kadioglu, Javier Augusto-Gonzalez, Manuel Ramos

Proceedings of the Security in Computer and Information Sciences, 2018

2017

Multi-layer neural networks for quality of service oriented server-state classification in cloud servers.

Yonghua Yin, Lan Wang, Erol Gelenbe

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Single-cell based random neural network for deep learning.

Yonghua Yin, Erol Gelenbe

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Deep Learning with Dense Random Neural Networks.

Erol Gelenbe, Yonghua Yin

Proceedings of the Man-Machine Interactions 5, 2017

2016

GD-aided IOL (input-output linearisation) controller for handling affine-form nonlinear system with loose condition on relative degree.

Yunong Zhang, Dechao Chen, Long Jin, Yinyan Zhang, Yonghua Yin

Int. J. Control, 2016

Nonnegative autoencoder with simplified random neural network.

Yonghua Yin, Erol Gelenbe

CoRR, 2016

Deep Learning in Multi-Layer Architectures of Dense Nuclei.

Yonghua Yin, Erol Gelenbe

CoRR, 2016

2015

Taylor-type 1-step-ahead numerical differentiation rule for first-order derivative approximation and ZNN discretization.

Yunong Zhang, Long Jin, Dongsheng Guo, Yonghua Yin, Yao Chou

J. Comput. Appl. Math., 2015

Line-Search Aided Non-negative Least-Square Learning for Random Neural Network.

Yonghua Yin

Proceedings of the Information Sciences and Systems 2015, 2015

2014

Cross-validation based weights and structure determination of Chebyshev-polynomial neural networks for pattern classification.

Yunong Zhang, Yonghua Yin, Dongsheng Guo, Xiaotian Yu, Lin Xiao

Pattern Recognit., 2014

Weights and structure determination of multiple-input feed-forward neural network activated by Chebyshev polynomials of Class 2 via cross-validation.

Yunong Zhang, Xiaotian Yu, Dongsheng Guo, Yonghua Yin, Zhijun Zhang

Neural Comput. Appl., 2014

Singularity-conquering ZG controllers of z2g1 type for tracking control of the IPC system.

Yunong Zhang, Xiaotian Yu, Yonghua Yin, Chen Peng, Zhengping Fan

Int. J. Control, 2014

Acceleration-level Z2G0 controller for redundant manipulator end-effector tracking.

Jiawei Luo, Xiaotian Yu, Yonghua Yin, Hongzhou Tan, Yunong Zhang

Proceedings of the 11th International Conference on Fuzzy Systems and Knowledge Discovery, 2014

Theory and Substantiation of z0g1 Controller Conquering Singularity Problem of Output Tracking for a Class of Nonlinear System.

Yunong Zhang, Ying Wang, Yonghua Yin, Hongzhou Tan, Qingkai Zeng

Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014

2013

ZG controllers for output tracking of nonlinear mass-spring-damper mechanical system with division-by-zero problem solved.

Yunong Zhang, Ying Wang, Yonghua Yin, Long Jin, Dechao Chen

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013

Zhang-Gradient Controllers of Z0G0, Z1G0 and Z1G1 Types for Output Tracking of Time-Varying Linear Systems with Control-Singularity Conquered Finally.

Yunong Zhang, Jinrong Liu, Yonghua Yin, Feiheng Luo, Jianhao Deng

Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

ZD and ZG controllers for explicit and implicit tracking of pendulum with singularity finally conquered.

Yunong Zhang, Chen Peng, Xiaotian Yu, Yonghua Yin, Yingbiao Ling

Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

ZG Control for Ship Course Tracking with Singularity Considered and Solved.

Yonghua Yin, Qing Xie, Ying Wang, Dechao Chen, Yunong Zhang

Proceedings of the IEEE 11th International Conference on Dependable, 2013

2012

Growing-type weights and structure determination of 2-input Legendre orthogonal polynomial neuronet.

Yunong Zhang, Jinhao Chen, Dongsheng Guo, Yonghua Yin, Wenchao Lao

Proceedings of the 21st IEEE International Symposium on Industrial Electronics, 2012

Weights and structure determination of pruning-while-growing type for 3-input power-activation feed-forward neuronet.

Yunong Zhang, Wenchao Lao, Yonghua Yin, Lin Xiao, Jinhao Chen

Proceedings of the 2012 IEEE International Conference on Automation and Logistics, 2012

Different-Level Schemes' Equivalence for Self-Motion Planning of Robot Manipulators.

Yunong Zhang, Huarong Wu, Zhijun Zhang, Senbo Fu, Yonghua Yin

Proceedings of the Artificial Intelligence and Computational Intelligence, 2012