Shuiming Zhong

17 papers B 2C 1Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
A New Sufficient & Necessary Condition for Testing Linear Separability Between Two Sets.
IEEE Trans. Pattern Anal. Mach. Intell.
Shuiming Zhong, Huan Lyu, Xiaoxiang Lu, Baowei Wang, Dingcheng Wang
2018 — conf
An Adaptive Construction Test Method Based on Geometric Calculation for Linearly Separable Problems.
ICCCS (6)
Shuiming Zhong, Xiaoxiang Lu, Meng Li, Chengguang Liu, Yong Cheng, Victor S. Sheng
2017 J jnl
An online supervised learning method based on gradient descent for spiking neurons.
Neural Networks
Yan Xu, Jing Yang, Shuiming Zhong
2016 J jnl
Bidirectional transformation between BPMN and BPEL with graph grammar.
Comput. Electr. Eng.
Zhan Shi, Xiaoqin Zeng, Tingting Zhang, Song Huang, Zekun Qi, Hui Li, Bin Hu, Yi Yao, Shuiming Zhong
2015 J jnl
A Hybrid Evolutionary Algorithm for Numerical Optimization Problem.
Intell. Autom. Soft Comput.
Yu Xue, Shuiming Zhong, Tinghuai Ma, Jie Cao
2014 J jnl
An efficient energy hole alleviating algorithm for wireless sensor networks.
IEEE Trans. Consumer Electron.
Yu Xue, Xiangmao Chang, Shuiming Zhong, Yi Zhuang
2014 J jnl
An ensemble algorithm with self-adaptive learning techniques for high-dimensional numerical optimization.
Appl. Math. Comput.
Yu Xue, Shuiming Zhong, Yi Zhuang, Bin Xu
2014 J jnl
Sensitivity study of Binary Feedforward Neural Networks.
Neurocomputing
Lihong Huang, Xiaoqin Zeng, Shuiming Zhong, Lixin Han
2013 J jnl
A New Supervised Learning Algorithm for Spiking Neurons.
Neural Comput.
Yan Xu, Xiaoqin Zeng, Shuiming Zhong
2013 J jnl
Computation of multilayer perceptron sensitivity to input perturbation.
Neurocomputing
Jing Yang, Xiaoqin Zeng, Shuiming Zhong
2013 J jnl
Effective Neural Network Ensemble Approach for Improving Generalization Performance.
IEEE Trans. Neural Networks Learn. Syst.
Jing Yang, Xiaoqin Zeng, Shuiming Zhong, Shengli Wu
2012 J jnl
Sensitivity-Based Adaptive Learning Rules for Binary Feedforward Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Shuiming Zhong, Xiaoqin Zeng, Shengli Wu, Lixin Han
2010 B conf
A quantified sensitivity measure of Radial Basis Function Neural Networks to input variation.
IJCNN
Xianming Chen, Xiaoqin Zeng, Rong Chu, Shuiming Zhong
2010 J jnl
Approximate computation of Madaline sensitivity based on discrete stochastic technique.
Sci. China Inf. Sci.
Shuiming Zhong, Xiaoqin Zeng, Huiyi Liu, Yan Xu
2009 B conf
A Sensitivity-Based Training Algorithm with Architecture Adjusting for Madalines.
SMC
Yanjun Liu, Xiaoqin Zeng, Shuiming Zhong, Shengli Wu
2009 J jnl
A sensitivity-based approach for pruning architecture of Madalines.
Neural Comput. Appl.
Xiaoqin Zeng, Jing Shao, Yingfeng Wang, Shuiming Zhong
2008 C conf
A Novel Ensemble Approach for Improving Generalization Ability of Neural Networks.
IDEAL
Lei Lu, Xiaoqin Zeng, Shengli Wu, Shuiming Zhong