Tie-Gang Fan

A Hybrid Proximal Point Algorithm for Solving the General Variational Inclusions with (A,?)-Maximal Monotone Operators

Jun-Min Chen, Xue-Fei Li, Tie-Gang Fan, 2009, 2009 International Joint Conference on Computational Sciences and Optimization.

A new measure of classifier diversity in multiple classifier system

Jun-Min Chen, Ying Zhu, Tie-Gang Fan, 2008, 2008 International Conference on Machine Learning and Cybernetics.

A new approach to weighted fuzzy production rule extraction from neural networks

Xi-Zhao Wang, Tie-Gang Fan, 2004, Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826).

Documents Categorization Based on Bayesian Spanning Tree

Hui-Feng Shi, Guo-Li Zhang, Tie-Gang Fan, 2006, 2006 International Conference on Machine Learning and Cybernetics.

Training T-S norm neural networks to refine weights for fuzzy if-then rules

Xizhao Wang, Chunru Dong, Tie-Gang Fan, 2007, Neurocomputing.

Iterative Methods for Solving a New System of Variational Inclusions with (A,?)-Accretive Operators in Banach Spaces

Jun-Min Chen, Xue-Fei Li, Tie-Gang Fan, 2009, 2009 International Joint Conference on Computational Sciences and Optimization.

Viscosity approximation methods for nonexpansive mappings and monotone mappings

Tie-Gang Fan, Jun-Min Chen, Li-Juan Zhang, 2007 .

Generating Weighted Fuzzy Production Rules using Neural Networks

Shu-Tian Wang, Tie-Gang Fan, Jun-Min Chen, 2006, 2006 International Conference on Machine Learning and Cybernetics.