Shuiming Zhong

According to our database, Shuiming Zhong authored at least 17 papers between 2008 and 2024.

Collaborative distances:

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

2024

A New Sufficient & Necessary Condition for Testing Linear Separability Between Two Sets.

Shuiming Zhong, Huan Lyu, Xiaoxiang Lu, Baowei Wang, Dingcheng Wang

IEEE Trans. Pattern Anal. Mach. Intell., June, 2024

2018

An Adaptive Construction Test Method Based on Geometric Calculation for Linearly Separable Problems.

Shuiming Zhong, Xiaoxiang Lu, Meng Li, Chengguang Liu, Yong Cheng, Victor S. Sheng

Proceedings of the Cloud Computing and Security - 4th International Conference, 2018

2017

An online supervised learning method based on gradient descent for spiking neurons.

Yan Xu, Jing Yang, Shuiming Zhong

Neural Networks, 2017

2016

Bidirectional transformation between BPMN and BPEL with graph grammar.

Zhan Shi, Xiaoqin Zeng, Tingting Zhang, Song Huang, Zekun Qi, Hui Li, Bin Hu, Yi Yao, Shuiming Zhong

Comput. Electr. Eng., 2016

2015

A Hybrid Evolutionary Algorithm for Numerical Optimization Problem.

Yu Xue, Shuiming Zhong, Tinghuai Ma, Jie Cao

Intell. Autom. Soft Comput., 2015

2014

An efficient energy hole alleviating algorithm for wireless sensor networks.

Yu Xue, Xiangmao Chang, Shuiming Zhong, Yi Zhuang

IEEE Trans. Consumer Electron., 2014

Sensitivity study of Binary Feedforward Neural Networks.

Lihong Huang, Xiaoqin Zeng, Shuiming Zhong, Lixin Han

Neurocomputing, 2014

An ensemble algorithm with self-adaptive learning techniques for high-dimensional numerical optimization.

Yu Xue, Shuiming Zhong, Yi Zhuang, Bin Xu

Appl. Math. Comput., 2014

2013

Effective Neural Network Ensemble Approach for Improving Generalization Performance.

Jing Yang, Xiaoqin Zeng, Shuiming Zhong, Shengli Wu

IEEE Trans. Neural Networks Learn. Syst., 2013

A New Supervised Learning Algorithm for Spiking Neurons.

Yan Xu, Xiaoqin Zeng, Shuiming Zhong

Neural Comput., 2013

Computation of multilayer perceptron sensitivity to input perturbation.

Jing Yang, Xiaoqin Zeng, Shuiming Zhong

Neurocomputing, 2013

2012

Sensitivity-Based Adaptive Learning Rules for Binary Feedforward Neural Networks.

Shuiming Zhong, Xiaoqin Zeng, Shengli Wu, Lixin Han

IEEE Trans. Neural Networks Learn. Syst., 2012

2010

Approximate computation of Madaline sensitivity based on discrete stochastic technique.

Shuiming Zhong, Xiaoqin Zeng, Huiyi Liu, Yan Xu

Sci. China Inf. Sci., 2010

A quantified sensitivity measure of Radial Basis Function Neural Networks to input variation.

Xianming Chen, Xiaoqin Zeng, Rong Chu, Shuiming Zhong

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

A sensitivity-based approach for pruning architecture of Madalines.

Xiaoqin Zeng, Jing Shao, Yingfeng Wang, Shuiming Zhong

Neural Comput. Appl., 2009

A Sensitivity-Based Training Algorithm with Architecture Adjusting for Madalines.

Yanjun Liu, Xiaoqin Zeng, Shuiming Zhong, Shengli Wu

Proceedings of the IEEE International Conference on Systems, 2009

2008

A Novel Ensemble Approach for Improving Generalization Ability of Neural Networks.

Lei Lu, Xiaoqin Zeng, Shengli Wu, Shuiming Zhong

Proceedings of the Intelligent Data Engineering and Automated Learning, 2008