# Shuiming Zhong

According to our database

Collaborative distances :

^{1}, Shuiming Zhong authored at least 15 papers between 2008 and 2017.Collaborative distances :

## Timeline

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#### On csauthors.net:

## Bibliography

2017

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

Neural Networks, 2017

2016

Bidirectional transformation between BPMN and BPEL with graph grammar.

Computers & Electrical Engineering, 2016

2015

A Hybrid Evolutionary Algorithm for Numerical Optimization Problem.

Intelligent Automation & Soft Computing, 2015

2014

An efficient energy hole alleviating algorithm for wireless sensor networks.

IEEE Trans. Consumer Electronics, 2014

Sensitivity study of Binary Feedforward Neural Networks.

Neurocomputing, 2014

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

Applied Mathematics and Computation, 2014

2013

Effective Neural Network Ensemble Approach for Improving Generalization Performance.

IEEE Trans. Neural Netw. Learning Syst., 2013

A New Supervised Learning Algorithm for Spiking Neurons.

Neural Computation, 2013

Computation of multilayer perceptron sensitivity to input perturbation.

Neurocomputing, 2013

2012

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

IEEE Trans. Neural Netw. Learning Syst., 2012

2010

Approximate computation of Madaline sensitivity based on discrete stochastic technique.

SCIENCE CHINA Information Sciences, 2010

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

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

A sensitivity-based approach for pruning architecture of Madalines.

Neural Computing and Applications, 2009

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

Proceedings of the IEEE International Conference on Systems, 2009

2008

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

Proceedings of the Intelligent Data Engineering and Automated Learning, 2008