Paramasivan Saratchandran

P. Saratchandran

2008
33	EE	R. Savitha, S. Suresh, Narasimhan Sundararajan, Paramasivan Saratchandran: Complex-valued function approximation using an improved BP learning algorithm for feed-forward networks. IJCNN 2008: 2251-2258
32	EE	S. Suresh, Narasimhan Sundararajan, Paramasivan Saratchandran: Risk-sensitive loss functions for sparse multi-category classification problems. Inf. Sci. 178(12): 2621-2638 (2008)
31	EE	S. Suresh, N. Kannan, Narasimhan Sundararajan, Paramasivan Saratchandran: Neural Adaptive Control for Vibration Suppression in Composite Fin-Tip of Aircraft. Int. J. Neural Syst. 18(3): 219-231 (2008)
30	EE	S. Suresh, Narasimhan Sundararajan, Paramasivan Saratchandran: A sequential multi-category classifier using radial basis function networks. Neurocomputing 71(7-9): 1345-1358 (2008)
2007
29	EE	Runxuan Zhang, Guang-Bin Huang, N. Sundararajan, P. Saratchandran: Multicategory Classification Using An Extreme Learning Machine for Microarray Gene Expression Cancer Diagnosis. IEEE/ACM Trans. Comput. Biology Bioinform. 4(3): 485-495 (2007)
28	EE	Runxuan Zhang, Guang-Bin Huang, N. Sundararajan, P. Saratchandran: Improved GAP-RBF network for classification problems. Neurocomputing 70(16-18): 3011-3018 (2007)
2006
27	EE	Ming-Bin Li, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan: Channel Equalization Using Complex Extreme Learning Machine with RBF Kernels. ISNN (2) 2006: 114-119
26	EE	Hai-Jun Rong, N. Sundararajan, Guang-Bin Huang, P. Saratchandran: Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction. Fuzzy Sets and Systems 157(9): 1260-1275 (2006)
25	EE	Nan-Ying Liang, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan: A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks. IEEE Transactions on Neural Networks 17(6): 1411-1423 (2006)
24	EE	Nan-Ying Liang, Paramasivan Saratchandran, Guang-Bin Huang, Narasimhan Sundararajan: Classification of Mental Tasks from Eeg Signals Using Extreme Learning Machine. Int. J. Neural Syst. 16(1): 29-38 (2006)
2005
23		Runxuan Zhang, Narasimhan Sundararajan, Guang-Bin Huang, Paramasivan Saratchandran: An Efficient Sequential RBF Network for Gene Expression-Based Multi-category Classification. CIBCB 2005: 251-256
22		Guang-Bin Huang, Nan-Ying Liang, Hai-Jun Rong, Paramasivan Saratchandran, Narasimhan Sundararajan: On-Line Sequential Extreme Learning Machine. Computational Intelligence 2005: 232-237
21	EE	Ming-Bin Li, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan: Performance Evaluation of GAP-RBF Network in Channel Equalization. Neural Processing Letters 22(2): 223-233 (2005)
20	EE	Ming-Bin Li, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan: Fully complex extreme learning machine. Neurocomputing 68: 306-314 (2005)
2004
19	EE	Ajith Abraham, Ninan Sajith Philip, P. Saratchandran: Modeling Chaotic Behavior of Stock Indices Using Intelligent Paradigms CoRR cs.AI/0405018: (2004)
18	EE	Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan: An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks. IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(6): 2284-2292 (2004)
17	EE	Li Guojie, Paramasivan Saratchandran, Narasimhan Sundararajan: Text-independent speaker verification using minimal resource allocation networks. Int. J. Neural Syst. 14(6): 347-354 (2004)
2003
16	EE	Supeng Leng, Krishnappa R. Subramanian, Narasimhan Sundararajan, Paramasivan Saratchandran: Novel Neutral Network Approach to Call Admission Control in High-speed Networks. Int. J. Neural Syst. 13(4): 251-262 (2003)
15	EE	Ng Hock Soon, Narasimhan Sundararajan, Paramasivan Saratchandran: ATM congestion control using Minimal Resource Allocation Networks (MRAN). Neural Computing and Applications 12(2): 89-97 (2003)
2002
14	EE	Ng Hock Soon, Narasimhan Sundararajan, Paramasivan Saratchandran: ABR traffic management using minimal resource allocation (neural) networks. Computer Communications 25(1): 9-20 (2002)
2001
13	EE	Wee Sng Khoo, Paramasivan Saratchandran, Narasimhan Sundararajan: A Genetic Approach for Two Dimensional Packing with Constraints. International Conference on Computational Science (2) 2001: 291-299
12	EE	Udantha R. Abeyratne, G. Zhang, P. Saratchandran: Eeg Source Localization: A Compartive Study of Classical and Neural Network Methods. Int. J. Neural Syst. 11(4): 349-359 (2001)
11	EE	Li Yan, Narasimhan Sundararajan, Paramasivan Saratchandran: Neuro-Flight Controllers for Aircraft Using Minimal Resource Allocating Networks (MRAN). Neural Computing and Applications 10(2): 172-183 (2001)
2000
10	EE	Deng Jianping, Narasimhan Sundararajan, Paramasivan Saratchandran: Communication Channel Equalization Using Complex-Valued Minimal Radial Basis Function Neural Network. IJCNN (5) 2000: 372-377
9	EE	Deng Jianping, Narasimhan Sundararajan, Paramasivan Saratchandran: Complex-Valued Minimal Resource Allocation Network for Nonlinear Signal Processing. Int. J. Neural Syst. 10(2): 95-106 (2000)
8		Sun Yonghong, Paramasivan Saratchandran, Narasimhan Sundararajan: A Direct Link Minimal Resource Allocation Network for Adaptive Noise Cancellation. Neural Processing Letters 12(3): 255-265 (2000)
7		Li Yan, Narasimhan Sundararajan, Paramasivan Saratchandran: Nonlinear System Identification Using Lyapunov Based Fully Tuned Dynamic RBF Networks. Neural Processing Letters 12(3): 291-303 (2000)
1999
6		Ng Hock Soon, Narasimhan Sundararajan, Paramasivan Saratchandran: Adaptive Neural Congestion Controller for ATM Network with Heavy Traffic. Broadband Communications 1999: 521-532
5	EE	Q. Gan, Paramasivan Saratchandran, Narasimhan Sundararajan, Krishnappa R. Subramanian: A complex valued radial basis function network for equalization of fast time varying channels. IEEE Transactions on Neural Networks 10(4): 958-960 (1999)
1998
4	EE	Lu Yingwei, N. Sundararajan, P. Saratchandran: Performance evaluation of a sequential minimal radial basis function (RBF) neural network learning algorithm. IEEE Transactions on Neural Networks 9(2): 308-318 (1998)
1997
3		Shou King Foo, Paramasivan Saratchandran, Narasimhan Sundararajan: Parallel implementation of backpropagation neural networks on a heterogeneous array of transputers. IEEE Transactions on Systems, Man, and Cybernetics, Part B 27(1): 118-126 (1997)
2	EE	Lu Yingwei, Narasimhan Sundararajan, Paramasivan Saratchandran: A Sequential Learning Scheme for Function Approximation Using Minimal Radial Basis Function Neural Networks. Neural Computation 9(2): 461-478 (1997)
1995
1	EE	Shou King Foo, Paramasivan Saratchandran, Narasimhan Sundararajan: Analysis of training set parallelism for backpropagation neural networks. Int. J. Neural Syst. 6(1): 61-78 (1995)

Coauthor Index

1	Udantha R. Abeyratne	[12]
2	Ajith Abraham	[19]
3	Shou King Foo	[1] [3]
4	Q. Gan	[5]
5	Li Guojie	[17]
6	Guang-Bin Huang	[18] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29]
7	Deng Jianping	[9] [10]
8	N. Kannan	[31]
9	Wee Sng Khoo	[13]
10	Supeng Leng	[16]
11	Ming-Bin Li	[20] [21] [27]
12	Nan-Ying Liang	[22] [24] [25]
13	Ninan Sajith Philip	[19]
14	Hai-Jun Rong	[22] [26]
15	R. Savitha	[33]
16	Ng Hock Soon	[6] [14] [15]
17	Krishnappa R. Subramanian	[5] [16]
18	Narasimhan Sundararajan (N. Sundararajan)	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [13] [14] [15] [16] [17] [18] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33]
19	S. Suresh	[30] [31] [32] [33]
20	Li Yan	[7] [11]
21	Lu Yingwei	[2] [4]
22	Sun Yonghong	[8]
23	G. Zhang	[12]
24	Runxuan Zhang	[23] [28] [29]

Colors in the list of coauthors