Fei Han

2008
16	EE	Fei Han, Tong-Yue Gu, Qing-Hua Ling: A New Approach Encoding a Priori Information for Function Approximation. CSSE (1) 2008: 82-85
15	EE	Fei Han: Improved Learning Algorithms of SLFN for Approximating Periodic Function. ICIC (2) 2008: 654-660
14	EE	Dongchao Ji, Bifeng Song, Fei Han: An Improved KNN Algorithm of Intelligent Built-in Test. ICNSC 2008: 442-445
13	EE	Colin Yu Lin, Song Cao, Junshe An, Fei Han, Qifei Fan: A Network Based Functional Verification Method of IEEE 1394a PHY Core. ISVLSI 2008: 245-250
12	EE	Fei Han, Quanyi Wang: Multiple positive periodic solutions for a class of nonlinear functional differential equations. Applied Mathematics and Computation 205(1): 383-390 (2008)
11	EE	Fei Han, Qing-Hua Ling: A new approach for function approximation incorporating adaptive particle swarm optimization and a priori information. Applied Mathematics and Computation 205(2): 792-798 (2008)
10	EE	Fei Han, Qing-Hua Ling, De-Shuang Huang: Modified constrained learning algorithms incorporating additional functional constraints into neural networks. Inf. Sci. 178(3): 907-919 (2008)
9	EE	Fei Han, De-Shuang Huang: A new constrained learning algorithm for function approximation by encoding a priori information into feedforward neural networks. Neural Computing and Applications 17(5-6): 433-439 (2008)
2007
8	EE	Fei Han, Qing-Hua Ling: A New Learning Algorithm for Function Approximation by Encoding Additional Constraints into Feedforward Neural Network. ICIC (3) 2007: 64-72
2006
7	EE	Fei Han, Tat-Ming Lok, Michael R. Lyu: A New Learning Algorithm for Function Approximation Incorporating A Priori Information into Extreme Learning Machine. ISNN (1) 2006: 631-636
6	EE	Fei Han, De-Shuang Huang: Improved constrained learning algorithms by incorporating additional functional constraints into neural networks. Applied Mathematics and Computation 174(1): 34-50 (2006)
5	EE	Fei Han, Xu-Qin Li, Michael R. Lyu, Tat-Ming Lok: A modified learning algorithm incorporating additional functional constraints into neural networks. IJPRAI 20(2): 129-142 (2006)
4	EE	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. Int. J. Neural Syst. 16(1): 39-46 (2006)
3	EE	Fei Han, De-Shuang Huang: Improved extreme learning machine for function approximation by encoding a priori information. Neurocomputing 69(16-18): 2369-2373 (2006)
2005
2	EE	Xu-Qin Li, Fei Han, Tat-Ming Lok, Michael R. Lyu, Guang-Bin Huang: Improvements to the Conventional Layer-by-Layer BP Algorithm. ICIC (2) 2005: 189-198
1	EE	Fei Han, Deshuang Huang, Yiu-ming Cheung, Guang-Bin Huang: A New Modified Hybrid Learning Algorithm for Feedforward Neural Networks. ISNN (1) 2005: 572-577

Coauthor Index

1	Junshe An	[13]
2	Song Cao	[13]
3	Yiu-ming Cheung	[1]
4	Qifei Fan	[13]
5	Tong-Yue Gu	[16]
6	De-Shuang Huang (Deshuang Huang)	[1] [3] [4] [6] [9] [10]
7	Guang-Bin Huang	[1] [2]
8	Dongchao Ji	[14]
9	Xu-Qin Li	[2] [5]
10	Colin Yu Lin	[13]
11	Qing-Hua Ling	[8] [10] [11] [16]
12	Tat-Ming Lok	[2] [5] [7]
13	Michael R. Lyu	[2] [5] [7]
14	Tie-Hua Rong	[4]
15	Bifeng Song	[14]
16	Quanyi Wang	[12]
17	Zhi-Hua Zhu	[4]

Colors in the list of coauthors