Fei Han Vis

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19EETong-Yue Gu, Shi-Guang Ju, Fei Han: An Improved PSO Algorithm Encoding a priori Information for Nonlinear Approximation. ICIC (2) 2009: 223-231
18EEQing-Hua Ling, Fei Han: A Constrained Approximation Algorithm by Encoding Second-Order Derivative Information into Feedforward Neural Networks. ICIC (2) 2009: 928-934
17EEQing Yan, Hongmei Yan, Fei Han, Xinchuan Wei, Tao Zhu: SVM-based decision support system for clinic aided tracheal intubation predication with multiple features. Expert Syst. Appl. 36(3): 6588-6592 (2009)
16EEFei Han, Tong-Yue Gu, Qing-Hua Ling: A New Approach Encoding a Priori Information for Function Approximation. CSSE (1) 2008: 82-85
15EEFei Han: Improved Learning Algorithms of SLFN for Approximating Periodic Function. ICIC (2) 2008: 654-660
14EEDongchao Ji, Bifeng Song, Fei Han: An Improved KNN Algorithm of Intelligent Built-in Test. ICNSC 2008: 442-445
13EEColin 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
12EEFei Han, Quanyi Wang: Multiple positive periodic solutions for a class of nonlinear functional differential equations. Applied Mathematics and Computation 205(1): 383-390 (2008)
11EEFei 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)
10EEFei 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)
9EEFei 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)
8EEFei Han, Qing-Hua Ling: A New Learning Algorithm for Function Approximation by Encoding Additional Constraints into Feedforward Neural Network. ICIC (3) 2007: 64-72
7EEFei 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
6EEFei 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)
5EEFei 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)
4EEFei 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)
3EEFei Han, De-Shuang Huang: Improved extreme learning machine for function approximation by encoding a priori information. Neurocomputing 69(16-18): 2369-2373 (2006)
2EEXu-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
1EEFei 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

1Junshe An [13]
2Song Cao [13]
3Yiu-ming Cheung [1]
4Qifei Fan [13]
5Tong-Yue Gu [16] [19]
6De-Shuang Huang (Deshuang Huang) [1] [3] [4] [6] [9] [10]
7Guang-Bin Huang [1] [2]
8Dongchao Ji [14]
9Shi-Guang Ju [19]
10Xu-Qin Li [2] [5]
11Colin Yu Lin [13]
12Qing-Hua Ling [8] [10] [11] [16] [18]
13Tat-Ming Lok [2] [5] [7]
14Michael R. Lyu [2] [5] [7]
15Tie-Hua Rong [4]
16Bifeng Song [14]
17Quanyi Wang [12]
18Xinchuan Wei [17]
19Hongmei Yan [17]
20Qing Yan [17]
21Tao Zhu [17]
22Zhi-Hua Zhu [4]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)