Deshuang Huang
List of publications from the DBLP Bibliography Server - FAQ
2008 | ||
---|---|---|
112 | De-Shuang Huang, Donald C. Wunsch II, Daniel S. Levine, Kang-Hyun Jo: Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 4th International Conference on Intelligent Computing, ICIC 2008, Shanghai, China, September 15-18, 2008, Proceedings Springer 2008 | |
111 | De-Shuang Huang, Donald C. Wunsch II, Daniel S. Levine, Kang-Hyun Jo: Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 4th International Conference on Intelligent Computing, ICIC 2008, Shanghai, China, September 15-18, 2008, Proceedings Springer 2008 | |
110 | De-Shuang Huang, Donald C. Wunsch II, Daniel S. Levine, Kang-Hyun Jo: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 4th International Conference on Intelligent Computing, ICIC 2008, Shanghai, China, September 15-18, 2008, Proceedings Springer 2008 | |
109 | EE | Guo-Zhu Wen, De-Shuang Huang: A Novel Spike Sorting Method Based on Semi-supervised Learning. ICIC (2) 2008: 605-615 |
108 | EE | Huan Xu, De-Shuang Huang: One Class Support Vector Machines for Distinguishing Photographs and Graphics. ICNSC 2008: 602-607 |
107 | EE | Jie Gui, De-Shuang Huang, Zhuhong You: An improvement on learning with local and global consistency. ICPR 2008: 1-4 |
106 | EE | Bo Li, De-Shuang Huang, Chao Wang: Improving the robustness of ISOMAP by de-noising. IJCNN 2008: 266-270 |
105 | EE | Bo Li, De-Shuang Huang, Kun-hong Liu: Constrained Maximum Variance Mapping. IJCNN 2008: 534-537 |
104 | EE | De-Shuang Huang: Special issue on advanced intelligent computing theory and methodology in applied mathematics and computation. Applied Mathematics and Computation 205(2): 509-510 (2008) |
103 | EE | Xiaofeng Wang, De-Shuang Huang, Ji-Xiang Du, Huan Xu, Laurent Heutte: Classification of plant leaf images with complicated background. Applied Mathematics and Computation 205(2): 916-926 (2008) |
102 | EE | Chun-Hou Zheng, De-Shuang Huang, Xiangzhen Kong, Xing-Ming Zhao: Gene Expression Data Classification Using Consensus Independent Component Analysis. Genomics, Proteomics & Bioinformatics 6(2): 74-82 (2008) |
101 | EE | Peng Chen, De-Shuang Huang, Xing-Ming Zhao, Xueling Li: Predicting contact map using Radial Basis Function Neural Network with Conformational Energy Function. IJBRA 4(2): 123-136 (2008) |
100 | 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) |
99 | Xiao-Feng Wang, De-Shuang Huang: A Novel Multi-Layer Level Set Method for Image Segmentation. J. UCS 14(14): 2427-2452 (2008) | |
98 | 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) |
97 | EE | Bo Li, De-Shuang Huang, Chao Wang, Kun-hong Liu: Feature extraction using constrained maximum variance mapping. Pattern Recognition 41(11): 3287-3294 (2008) |
96 | EE | Bo Li, Chun-Hou Zheng, De-Shuang Huang: Locally linear discriminant embedding: An efficient method for face recognition. Pattern Recognition 41(12): 3813-3821 (2008) |
95 | EE | De-Shuang Huang, Wei Jia, David Zhang: Palmprint verification based on principal lines. Pattern Recognition 41(4): 1316-1328 (2008) |
94 | EE | Wei Jia, De-Shuang Huang, David Zhang: Palmprint verification based on robust line orientation code. Pattern Recognition 41(5): 1504-1513 (2008) |
2007 | ||
93 | De-Shuang Huang, Laurent Heutte, Marco Loog: Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007. Proceedings Springer 2007 | |
92 | De-Shuang Huang, Laurent Heutte, Marco Loog: Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007, Proceedings Springer 2007 | |
91 | De-Shuang Huang, Laurent Heutte, Marco Loog: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007, Proceedings Springer 2007 | |
90 | EE | Sheng-Bo Guo, Ying Wang, Xing Yan, Longnian Lin, Joe Tsien, De-Shuang Huang: Long-Range Temporal Correlations in the Spontaneous in vivo Activity of Interneuron in the Mouse Hippocampus. ICIC (2) 2007: 1339-1344 |
89 | EE | Ji-Xiang Du, De-Shuang Huang, Zeng-Fu Wang: Pattern classification with a PSO optimization based elliptical basis function neural networks. IEEE Congress on Evolutionary Computation 2007: 1654-1661 |
88 | EE | Zhong-Qiu Zhao, De-Shuang Huang: An evolutionary modular neural network for unbalanced pattern classifications. IEEE Congress on Evolutionary Computation 2007: 1662-1669 |
87 | EE | Jun Zhang, De-Shuang Huang, Kun-hong Liu: Multi-sub-swarm particle swarm optimization algorithm for multimodal function optimization. IEEE Congress on Evolutionary Computation 2007: 3215-3220 |
86 | EE | Kun-hong Liu, De-Shuang Huang, Bo Li: Improving the performance of ICA based microarray data prediction models with genetic algorithm. IEEE Congress on Evolutionary Computation 2007: 606-611 |
85 | EE | Kun-hong Liu, De-Shuang Huang, Jun Zhang: Microarray data prediction by evolutionary classifier ensemble system. IEEE Congress on Evolutionary Computation 2007: 634-637 |
84 | EE | Jun-Feng Xia, Bing Wang, De-Shuang Huang: Inferring Strengths of Protein-Protein Interaction Using Artificial Neural Network. IJCNN 2007: 2471-2475 |
83 | EE | Wei Jia, De-Shuang Huang: Palmprint Verification Based on Robust Orientation Code. IJCNN 2007: 2510-2514 |
82 | EE | Zhong-Hua Quan, De-Shuang Huang, Kun-hong Liu, Kwok-Wing Chau: A Hybrid HMM/ANN Based Approach for Online Signature Verification. IJCNN 2007: 402-405 |
81 | EE | Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang: Prediction of Long-range Contacts from Sequence Profile. IJCNN 2007: 938-943 |
80 | EE | Guo-Zhu Wen, Xiao-Yong Guo, De-Shuang Huang, Kun-hong Liu: Application of Self-Organizing Map in Aerosol Single Particles Data Clustering. IJCNN 2007: 991-996 |
79 | EE | De-Shuang Huang: Special issue on intelligent computing theory and methodology. Applied Mathematics and Computation 185(2): 757-758 (2007) |
78 | EE | De-Shuang Huang, Jian-Xun Mi: A New Constrained Independent Component Analysis Method. IEEE Transactions on Neural Networks 18(5): 1532-1535 (2007) |
77 | EE | Chun-Hou Zheng, De-Shuang Huang, Kang Li, George W. Irwin, Zhan-Li Sun: MISEP Method for Postnonlinear Blind Source Separation. Neural Computation 19(9): 2557-2578 (2007) |
76 | EE | De-Shuang Huang, Prashan Premaratne: Advanced Neurocomputing Theory and Methodology. Neurocomputing 70(4-6): 623-624 (2007) |
75 | EE | Ji-Xiang Du, De-Shuang Huang, Xiaofeng Wang, Xiao Gu: Shape recognition based on neural networks trained by differential evolution algorithm. Neurocomputing 70(4-6): 896-903 (2007) |
74 | EE | Zhong-Qiu Zhao, De-Shuang Huang, Wei Jia: Palmprint recognition with 2DPCA+PCA based on modular neural networks. Neurocomputing 71(1-3): 448-454 (2007) |
73 | EE | Hong-Qiang Wang, Hau-San Wong, De-Shuang Huang, Jun Shu: Extracting gene regulation information for cancer classification. Pattern Recognition 40(12): 3379-3392 (2007) |
72 | EE | Catalin Caleanu, De-Shuang Huang, Vasile Gui, Virgil Tiponut, Valentin Maranescu: Interest Operator versus Gabor filtering for facial imagery classification. Pattern Recognition Letters 28(8): 950-956 (2007) |
2006 | ||
71 | De-Shuang Huang, Kang Li, George W. Irwin: Intelligent Computing, International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part I Springer 2006 | |
70 | De-Shuang Huang, Kang Li, George W. Irwin: Computational Intelligence, International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part II Springer 2006 | |
69 | De-Shuang Huang, Kang Li, George W. Irwin: Computational Intelligence and Bioinformatics, International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part III Springer 2006 | |
68 | EE | Guo-Jun Zhang, Ji-Xiang Du, De-Shuang Huang, Tat-Ming Lok, Michael R. Lyu: Adaptive Nearest Neighbor Classifier Based on Supervised Ellipsoid Clustering. FSKD 2006: 582-585 |
67 | EE | Xing Yan, Lei Cao, De-Shuang Huang, Kang Li, George W. Irwin: A Novel Feature Fusion Approach Based on Blocking and Its Application in Image Recognition. ICIC (1) 2006: 1085-1091 |
66 | EE | Shun Pei, De-Shuang Huang, Kang Li, George W. Irwin: Gene Selection by Cooperative Competition Clustering. ICIC (3) 2006: 464-474 |
65 | EE | Xing-Ming Zhao, De-Shuang Huang, Shiwu Zhang, Yiu-ming Cheung: Classifying G-Protein Coupled Receptors with Hydropathy Blocks and Support Vector Machines. ICIC (3) 2006: 593-602 |
64 | EE | Zhi-Kai Huang, De-Shuang Huang, Ji-Xiang Du, Zhong-Hua Quan, Sheng-Bo Guo: Bark Classification Based on Gabor Filter Features Using RBPNN Neural Network. ICONIP (2) 2006: 80-87 |
63 | EE | Zhong-Hua Quan, De-Shuang Huang, Xiao-Lei Xia, Michael R. Lyu, Tat-Ming Lok: Spectrum Analysis Based onWindows with Variable Widths for Online Signature Verification. ICPR (2) 2006: 1122-1125 |
62 | EE | Bing Wang, Hau-San Wong, Peng Chen, Hong-Qiang Wang, De-Shuang Huang: Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks. IJCNN 2006: 2325-2330 |
61 | EE | Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang: Long-Range Interaction Analysis using Principal Component Analysis. IJCNN 2006: 2331-2336 |
60 | EE | Li Shang, De-Shuang Huang, Ji-Xiang Du, Zhi-Kai Huang: Palmprint Recognition Using ICA Based on Winner-Take-All Network and Radial Basis Probabilistic Neural Network. ISNN (2) 2006: 216-221 |
59 | 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) |
58 | EE | De-Shuang Huang, Chun-Hou Zheng: Independent component analysis-based penalized discriminant method for tumor classification using gene expression data. Bioinformatics 22(15): 1855-1862 (2006) |
57 | EE | Kun-hong Liu, Yong Xu, De-Shuang Huang, Min Cheng: Grooming of Dynamic Traffic in WDM Star and Tree Networks Using Genetic Algorithm CoRR abs/cs/0610147: (2006) |
56 | EE | Kun-hong Liu, Yong Xu, De-Shuang Huang: A Genetic Algorithm Approach to the Grooming of Dynamic Traffic in Tree and Star Networks with Bifurcation CoRR abs/cs/0610157: (2006) |
55 | EE | Zhan-Li Sun, Deshuang Huang, Yiu-ming Cheung: Erratum to "Extracting nonlinear features for multispectral images by FCMC and KPCA" [Digital Signal Processing 15 (2005) 331-346]. Digital Signal Processing 16(2): 205 (2006) |
54 | EE | Jian Xun Peng, Kang Li, De-Shuang Huang: A Hybrid Forward Algorithm for RBF Neural Network Construction. IEEE Transactions on Neural Networks 17(6): 1439-1451 (2006) |
53 | EE | Yuan Yan Tang, De-Shuang Huang: Editorial. IJPRAI 20(2): 111-112 (2006) |
52 | 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) |
51 | EE | Li Shang, De-Shuang Huang, Ji-Xiang Du, Chun-Hou Zheng: Palmprint recognition using FastICA algorithm and radial basis probabilistic neural network. Neurocomputing 69(13-15): 1782-1786 (2006) |
50 | 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) |
49 | EE | Jun Zhang, De-Shuang Huang, Tat-Ming Lok, Michael R. Lyu: A novel adaptive sequential niche technique for multimodal function optimization. Neurocomputing 69(16-18): 2396-2401 (2006) |
48 | EE | Chun-Hou Zheng, De-Shuang Huang, Li Shang: Feature selection in independent component subspace for microarray data classification. Neurocomputing 69(16-18): 2407-2410 (2006) |
47 | EE | Li Shang, Deshuang Huang, Chunhou Zheng, Zhan-Li Sun: Noise removal using a novel non-negative sparse coding shrinkage technique. Neurocomputing 69(7-9): 874-877 (2006) |
46 | EE | Chun-Hou Zheng, De-Shuang Huang, Zhan-Li Sun, Michael R. Lyu, Tat-Ming Lok: Nonnegative independent component analysis based on minimizing mutual information technique. Neurocomputing 69(7-9): 878-883 (2006) |
45 | EE | Zhan-Li Sun, De-Shuang Huang, Chun-Hou Zheng, Li Shang: Optimal selection of time lags for TDSEP based on genetic algorithm. Neurocomputing 69(7-9): 884-887 (2006) |
44 | EE | De-Shuang Huang, Xing-Ming Zhao, Guang-Bin Huang, Yiu-ming Cheung: Classifying protein sequences using hydropathy blocks. Pattern Recognition 39(12): 2293-2300 (2006) |
43 | EE | Hong-Qiang Wang, De-Shuang Huang: Regulation probability method for gene selection. Pattern Recognition Letters 27(2): 116-122 (2006) |
2005 | ||
42 | De-Shuang Huang, Xiao-Ping Zhang, Guang-Bin Huang: Advances in Intelligent Computing, International Conference on Intelligent Computing, ICIC 2005, Hefei, China, August 23-26, 2005, Proceedings, Part I Springer 2005 | |
41 | De-Shuang Huang, Xiao-Ping Zhang, Guang-Bin Huang: Advances in Intelligent Computing, International Conference on Intelligent Computing, ICIC 2005, Hefei, China, August 23-26, 2005, Proceedings, Part II Springer 2005 | |
40 | EE | Li Shang, Deshuang Huang: Image Denoising Using Non-Negative Sparse Coding Shrinkage Algorithm. CVPR (1) 2005: 1017-1022 |
39 | EE | Jun-Hua Han, De-Shuang Huang: A novel BP-based image retrieval system. ISCAS (2) 2005: 1557-1560 |
38 | 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 |
37 | EE | Ji-Xiang Du, Deshuang Huang, Xiaofeng Wang, Xiao Gu: Shape Recognition Based on Radial Basis Probabilistic Neural Network and Application to Plant Species Identification. ISNN (2) 2005: 281-285 |
36 | EE | Chunhou Zheng, Deshuang Huang, Zhan-Li Sun, Li Shang: Post-nonlinear Blind Source Separation Using Neural Networks with Sandwiched Structure. ISNN (2) 2005: 478-483 |
35 | EE | Li Shang, Deshuang Huang, Chunhou Zheng, Zhan-Li Sun: Image Feature Extraction Based on an Extended Non-negative Sparse Coding Neural Network Model. ISNN (2) 2005: 807-812 |
34 | EE | De-Shuang Huang, Wen-Bo Zhao: Determining the centers of radial basis probabilistic neural networks by recursive orthogonal least square algorithms. Applied Mathematics and Computation 162(1): 461-473 (2005) |
33 | EE | De-Shuang Huang, Horace Ho-Shing Ip, Ken C. K. Law, Zheru Chi, Hau-San Wong: A new partitioning neural network model for recursively finding arbitrary roots of higher order arbitrary polynomials. Applied Mathematics and Computation 162(3): 1183-1200 (2005) |
32 | EE | De-Shuang Huang, Zheru Chi, Wan-Chi Siu: A case study for constrained learning neural root finders. Applied Mathematics and Computation 165(3): 699-718 (2005) |
31 | EE | Zhan-Li Sun, De-Shuang Huang, Yiu-ming Cheung: Extracting nonlinear features for multispectral images by FCMC and KPCA. Digital Signal Processing 15(4): 331-346 (2005) |
30 | EE | Bing-Yu Sun, De-Shuang Huang, Hai-Tao Fang, Xing-Ming Yang: A novel robust regression approach of Lidar signal based on modified least squares support vector machine. IJPRAI 19(5): 715-729 (2005) |
29 | EE | Xing-Ming Zhao, Yiu-ming Cheung, De-Shuang Huang: A novel approach to extracting features from motif content and protein composition for protein sequence classification. Neural Networks 18(8): 1019-1028 (2005) |
28 | EE | Zhigang Zeng, De-Shuang Huang, Zengfu Wang: Global Stability of a General Class of Discrete-Time Recurrent Neural Networks. Neural Processing Letters 22(1): 33-47 (2005) |
27 | EE | Zhan-Li Sun, De-Shuang Huang, Chun-Hou Zheng, Li Shang: Using batch algorithm for kernel blind source separation. Neurocomputing 69(1-3): 273-278 (2005) |
26 | EE | Guang-Zheng Zhang, De-Shuang Huang, Zhong-Hua Quan: Combining a binary input encoding scheme with RBFNN for globulin protein inter-residue contact map prediction. Pattern Recognition Letters 26(10): 1543-1553 (2005) |
25 | EE | Guang-Zheng Zhang, De-Shuang Huang, Yun-Ping Zhu, Yi-Xue Li: Improving protein secondary structure prediction by using the residue conformational classes. Pattern Recognition Letters 26(15): 2346-2352 (2005) |
2004 | ||
24 | EE | Zhigang Zeng, Zengfu Wang, De-Shuang Huang: Global exponential stability of delayed Cohen-Grossberg neural networks. ICARCV 2004: 2254-2257 |
23 | EE | Jian-Xun Mi, De-Shuang Huang: Image compression using principal component neural network. ICARCV 2004: 698-701 |
22 | EE | Xing-Ming Zhao, De-Shuang Huang, Yiu-ming Cheung, Hong-Qiang Wang, Xin Huang: A Novel Hybrid GA/SVM System for Protein Sequences Classification. IDEAL 2004: 11-16 |
21 | EE | Wen-Bo Zhao, Ming-Yi Zhang, Li-Ming Wang, Ji-Yan Du, De-Shuang Huang: Multiple Classifiers Fusion System Based on the Radial Basis Probabilistic Neural Networks. IDEAL 2004: 314-319 |
20 | EE | Zhigang Zeng, De-Shuang Huang, Zengfu Wang: Global Convergence of Steepest Descent for Quadratic Functions. IDEAL 2004: 672-677 |
19 | EE | Zhigang Zeng, De-Shuang Huang, Zengfu Wang: Pattern Recognition Based on Stability of Discrete Time Cellular Neural Networks. ISNN (1) 2004: 1008-1014 |
18 | EE | Zhigang Zeng, De-Shuang Huang, Zengfu Wang: Stability Analysis of Discrete-Time Cellular Neural Networks. ISNN (1) 2004: 114-119 |
17 | EE | Bing-Yu Sun, De-Shuang Huang, Lin Guo, Zhong-Qiu Zhao: Support Vector Machine Committee for Classification. ISNN (1) 2004: 648-653 |
16 | EE | Zhan-Li Sun, De-Shuang Huang: Extracting Target Information in Multispectral Images Using a Modified KPCA Approach. ISNN (1) 2004: 774-779 |
15 | EE | Hong-Qiang Wang, De-Shuang Huang, Xing-Ming Zhao, Xin Huang: A Novel Clustering Analysis Based on PCA and SOMs for Gene Expression Patterns. ISNN (2) 2004: 476-481 |
14 | EE | Guang-Zheng Zhang, De-Shuang Huang, Xin Huang: Binary Input Encoding Strategy Based Neural Network for Globulin Protein Inter-residue Contacts Map Prediction. ISNN (2) 2004: 513-518 |
13 | EE | Wen-Bo Zhao, De-Shuang Huang, Ji-Yan Du, Li-Ming Wang: Genetic Optimization Of Radial Basis Probabilistic Neural Networks. IJPRAI 18(8): 1473-1499 (2004) |
12 | EE | Zhigang Zeng, De-Shuang Huang, Zengfu Wang: Attractability and location of equilibrium point of cellular neural networks with time-varying delays. Int. J. Neural Syst. 14(5): 337-345 (2004) |
11 | EE | De-Shuang Huang, Horace Ho-Shing Ip, Zheru Chi: A Neural Root Finder of Polynomials Based on Root Moments. Neural Computation 16(8): 1721-1762 (2004) |
10 | EE | Zhong-Qiu Zhao, De-Shuang Huang, Bing-Yu Sun: Human face recognition based on multi-features using neural networks committee. Pattern Recognition Letters 25(12): 1351-1358 (2004) |
2003 | ||
9 | EE | De-Shuang Huang: On the Comparisons between RLSA and CLA for Solving Arbitrary Linear Simultaneous Equations. IDEAL 2003: 169-176 |
8 | EE | Wen-Bo Zhao, De-Shuang Huang, Lin Guo: Comparative Study between Radial Basis Probabilistic Neural Networks and Radial Basis Function Neural Networks. IDEAL 2003: 389-396 |
7 | EE | De-Shuang Huang, Horace Ho-Shing Ip: On the Choices of the Parameters in General Constrained Learning Algorithms. IDEAL 2003: 967-974 |
1999 | ||
6 | Jiuzhen Liang, Xingui He, Deshuang Huang: Gradient-Newton Learning Algorithm for Feedforward Neural Networks. PDPTA 1999: 2870-2874 | |
5 | De-Shuang Huang: Neural Pattern Analyses Based on a Novel Error Cost Function. PDPTA 1999: 2875-2880 | |
4 | De-Shuang Huang: A Novel Forward-Backward Smoothing-Based Learning Subspace Method for Recognition of Radar Targets. IJPRAI 13(1): 65-83 (1999) | |
3 | De-Shuang Huang: Application of Generalized Radial Basis Function Networks to Recognition of Radar Targets. IJPRAI 13(6): 945-962 (1999) | |
1998 | ||
2 | De-Shuang Huang: The local minima-free condition of feedforward neural networks for outer-supervised learning. IEEE Transactions on Systems, Man, and Cybernetics, Part B 28(3): 477-480 (1998) | |
1997 | ||
1 | De-Shuang Huang: The United Adaptive Learning Algorithm for The Link Weights and Shape Parameter in RBFN for Pattern Recognition. IJPRAI 11(6): 873-888 (1997) |