Shuiming Zhong

According to our database1, Shuiming Zhong authored at least 16 papers between 2008 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2018
An Adaptive Construction Test Method Based on Geometric Calculation for Linearly Separable Problems.
Proceedings of the Cloud Computing and Security - 4th International Conference, 2018

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.
Comput. Electr. Eng., 2016

2015
A Hybrid Evolutionary Algorithm for Numerical Optimization Problem.
Intell. Autom. Soft Comput., 2015

2014
An efficient energy hole alleviating algorithm for wireless sensor networks.
IEEE Trans. Consumer Electron., 2014

Sensitivity study of Binary Feedforward Neural Networks.
Neurocomputing, 2014

An ensemble algorithm with self-adaptive learning techniques for high-dimensional numerical optimization.
Appl. Math. Comput., 2014

2013
Effective Neural Network Ensemble Approach for Improving Generalization Performance.
IEEE Trans. Neural Networks Learn. Syst., 2013

A New Supervised Learning Algorithm for Spiking Neurons.
Neural Comput., 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 Networks Learn. Syst., 2012

2010
Approximate computation of Madaline sensitivity based on discrete stochastic technique.
Sci. China Inf. Sci., 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 Comput. Appl., 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


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