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Publications of Author

1. Xu-Qin Li, Fei Han, Tat-Ming Lok, Michael R. Lyu, Guang-Bin Huang
   Improvements to the Conventional Layer-by-Layer BP Algorithm. [Citation Graph (0, 0)][DBLP]
   ICIC (2), 2005, pp:189-198 [Conf]
   
2. Fei Han, Deshuang Huang, Yiu-ming Cheung, Guangbin Huang
   A New Modified Hybrid Learning Algorithm for Feedforward Neural Networks. [Citation Graph (0, 0)][DBLP]
   ISNN (1), 2005, pp:572-577 [Conf]
   
3. Fei Han, Tat-Ming Lok, Michael R. Lyu
   A New Learning Algorithm for Function Approximation Incorporating A Priori Information into Extreme Learning Machine. [Citation Graph (0, 0)][DBLP]
   ISNN (1), 2006, pp:631-636 [Conf]
   
4. Fei Han, De-Shuang Huang, Zhi-Hua Zhu, Tie-Hua Rong
   The Forecast of the Postoperative Survival Time of Patients Suffered from Non-small Cell Lung Cancer Based on Pca and Extreme Learning Machine. [Citation Graph (0, 0)][DBLP]
   Int. J. Neural Syst., 2006, v:16, n:1, pp:39-46 [Journal]
   
5. Fei Han, Xu-Qin Li, Michael R. Lyu, Tat-Ming Lok
   A modified learning algorithm incorporating additional functional constraints into neural networks. [Citation Graph (0, 0)][DBLP]
   IJPRAI, 2006, v:20, n:2, pp:129-142 [Journal]
   
6. Fei Han, De-Shuang Huang
   Improved constrained learning algorithms by incorporating additional functional constraints into neural networks. [Citation Graph (0, 0)][DBLP]
   Applied Mathematics and Computation, 2006, v:174, n:1, pp:34-50 [Journal]
   
7. Fei Han, De-Shuang Huang
   Improved extreme learning machine for function approximation by encoding a priori information. [Citation Graph (0, 0)][DBLP]
   Neurocomputing, 2006, v:69, n:16-18, pp:2369-2373 [Journal]
   
8. 
   Improved Learning Algorithms of SLFN for Approximating Periodic Function. [Citation Graph (, )][DBLP]
   
   
9. 
   A New Learning Algorithm for Function Approximation by Encoding Additional Constraints into Feedforward Neural Network. [Citation Graph (, )][DBLP]
   
   
10. 
    An Improved PSO Algorithm Encoding a priori Information for Nonlinear Approximation. [Citation Graph (, )][DBLP]
    
    
11. 
    A Constrained Approximation Algorithm by Encoding Second-Order Derivative Information into Feedforward Neural Networks. [Citation Graph (, )][DBLP]
    
    
12. 
    A Network Based Functional Verification Method of IEEE 1394a PHY Core. [Citation Graph (, )][DBLP]
    
    
13. 
    A New Approach Encoding a Priori Information for Function Approximation. [Citation Graph (, )][DBLP]
    
    
14. 
    An Improved KNN Algorithm of Intelligent Built-in Test. [Citation Graph (, )][DBLP]
    
    
15. 
    An Improved Approach Combining Random PSO with BP for Feedforward Neural Networks. [Citation Graph (, )][DBLP]
    
    
16. 
    A PSO Algorithm with the Improved Diversity for Feedforward Neural Networks. [Citation Graph (, )][DBLP]
    
    
17. 
    Gene Selection and PSO-BP Classifier Encoding a Prior Information. [Citation Graph (, )][DBLP]