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Fei Han
2010 – today
- 2013
[j11]Fei Han, Jiansheng Zhu: Improved Particle Swarm Optimization Combined with Backpropagation for Feedforward Neural Networks. Int. J. Intell. Syst. 28(3): 271-288 (2013)- 2012
- [c17]Fei Han, Jing Qin, Huawei Zhao, Jiankun Hu: A General Transformation from KP-ABE to Searchable Encryption. CSS 2012: 165-178
- [c16]
- 2011
- [c15]Fei Han, Hai-Fen Yao, Qing-Hua Ling: An Improved Extreme Learning Machine Based on Particle Swarm Optimization. ICIC (3) 2011: 699-704
- [c14]
- 2010
- [j10]Fei Han, Qing-Hua Ling, De-Shuang Huang: An improved approximation approach incorporating particle swarm optimization and a priori information into neural networks. Neural Computing and Applications 19(2): 255-261 (2010)
- [c13]Yu Cui, Fei Han, Shi-Guang Ju: Gene Selection and PSO-BP Classifier Encoding a Prior Information. ICSI (2) 2010: 335-342
2000 – 2009
- 2009
- [j9]Qing 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)
- [c12]Yu Cui, Shi-Guang Ju, Fei Han, Tong-Yue Gu: An Improved Approach Combining Random PSO with BP for Feedforward Neural Networks. AICI 2009: 361-368
- [c11]Tong-Yue Gu, Shi-Guang Ju, Fei Han: An Improved PSO Algorithm Encoding a priori Information for Nonlinear Approximation. ICIC (2) 2009: 223-231
- [c10]Qing-Hua Ling, Fei Han: A Constrained Approximation Algorithm by Encoding Second-Order Derivative Information into Feedforward Neural Networks. ICIC (2) 2009: 928-934
- [c9]Tong-Yue Gu, Shi-Guang Ju, Fei Han: A PSO Algorithm with the Improved Diversity for Feedforward Neural Networks. IITSI 2009: 123-127
- 2008
- [j8]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)
- [j7]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)
- [j6]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)
- [j5]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)
- [c8]Fei Han, Tong-Yue Gu, Qing-Hua Ling: A New Approach Encoding a Priori Information for Function Approximation. CSSE (1) 2008: 82-85
- [c7]Fei Han: Improved Learning Algorithms of SLFN for Approximating Periodic Function. ICIC (2) 2008: 654-660
- [c6]Dongchao Ji, Bifeng Song, Fei Han: An Improved KNN Algorithm of Intelligent Built-in Test. ICNSC 2008: 442-445
- [c5]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
- 2007
- [c4]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
- [j4]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)
- [j3]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)
- [j2]Fei Han, De-Shuang Huang: Improved extreme learning machine for function approximation by encoding a priori information. Neurocomputing 69(16-18): 2369-2373 (2006)
- [j1]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)
- [c3]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
- 2005
- [c2]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
- [c1]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
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last updated on 2013-01-30 00:51 CET by the dblp team