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M. V. C. Rao

Machavaram Venkata Chalapathy Rao

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2009
27EEM. Senthil Arumugam, Machavaram Venkata Chalapathy Rao, Alan W. C. Tan: A novel and effective particle swarm optimization like algorithm with extrapolation technique. Appl. Soft Comput. 9(1): 308-320 (2009)
2008
26EEM. Senthil Arumugam, M. V. C. Rao: On the improved performances of the particle swarm optimization algorithms with adaptive parameters, cross-over operators and root mean square (RMS) variants for computing optimal control of a class of hybrid systems. Appl. Soft Comput. 8(1): 324-336 (2008)
25EEShing Chiang Tan, M. V. C. Rao, Chee Peng Lim: Fuzzy ARTMAP dynamic decay adjustment: An improved fuzzy ARTMAP model with a conflict resolving facility. Appl. Soft Comput. 8(1): 543-554 (2008)
24EEM. Senthil Arumugam, M. V. C. Rao, Aarthi Chandramohan: A new and improved version of particle swarm optimization algorithm with global-local best parameters. Knowl. Inf. Syst. 16(3): 331-357 (2008)
23EEShing Chiang Tan, M. V. C. Rao, Chee Peng Lim: A hybrid neural network classifier combining ordered fuzzy ARTMAP and the dynamic decay adjustment algorithm. Soft Comput. 12(8): 765-775 (2008)
2007
22EEM. Senthil Arumugam, M. V. C. Rao: On a Class of Hybrid Systems via a Novel Approach for Real-Coded Genetic Algorithm with Hybrid Selection. International Journal of Information Technology and Decision Making 6(2): 315-332 (2007)
21EEAlan W. C. Tan, M. V. C. Rao, B. S. Daya Sagar: A composite signal subspace speech classifier. Signal Processing 87(11): 2600-2606 (2007)
20EEAlan W. C. Tan, M. V. C. Rao, B. S. Daya Sagar: A signal subspace approach for speech modelling and classification. Signal Processing 87(3): 500-508 (2007)
2006
19EEChen Li Poh, Chu Kiong Loo, M. V. C. Rao: Autonomous and Deterministic Clustering for Evidence-Theoretic Classifier. ICONIP (2) 2006: 70-79
18EERoy Kwang Yang Chang, Chu Kiong Loo, Machavaram Venkata Chalapathy Rao: Autonomous and Deterministic Probabilistic Neural Network Using Global k-Means. ISNN (1) 2006: 830-836
17EEChu Kiong Loo, Mandava Rajeswari, Machavaram Venkata Chalapathy Rao: Robust incremental growing multi-experts network. Appl. Soft Comput. 6(2): 139-153 (2006)
16EEWah Soon Lee, Machavaram Venkata Chalapathy Rao: Modeling and design of tape transport mechanism. Mathematics and Computers in Simulation 72(1): 26-37 (2006)
15EEChu Kiong Loo, Augustine Law, Way-Soong Lim, M. V. C. Rao: Probabilistic ensemble simplified fuzzy ARTMAP for sonar target differentiation. Neural Computing and Applications 15(1): 79-90 (2006)
14EEShing Chiang Tan, M. V. C. Rao, Chee Peng Lim: On the reduction of complexity in the architecture of fuzzy ARTMAP with dynamic decay adjustment. Neurocomputing 69(16-18): 2456-2460 (2006)
13EEAarthi Chandramohan, M. V. C. Rao, M. Senthil Arumugam: Two New and Useful Defuzzification Methods Based on Root Mean Square Value. Soft Comput. 10(11): 1047-1059 (2006)
12EEAarthi Chandramohan, M. V. C. Rao: A Novel Approach for Combining Fuzzy Rules Using Mean Operators for Effective Rule Reduction. Soft Comput. 10(11): 1103-1108 (2006)
2005
11EEM. Senthil Arumugam, M. V. C. Rao, Ramaswamy Palaniappan: New hybrid genetic operators for real coded genetic algorithm to compute optimal control of a class of hybrid systems. Appl. Soft Comput. 6(1): 38-52 (2005)
10EEChu Kiong Loo, M. V. C. Rao: Accurate and Reliable Diagnosis and Classification Using Probabilistic Ensemble Simplified Fuzzy ARTMAP. IEEE Trans. Knowl. Data Eng. 17(11): 1589-1593 (2005)
2004
9EEChu Kiong Loo, Way-Soong Lim, M. V. C. Rao: Classifiers for Sonar Target Differentiation. KES 2004: 305-311
8EEShing Chiang Tan, M. V. C. Rao, Chee Peng Lim: An Adaptive Fuzzy Min-Max Conflict-Resolving Classifier. WSC 2004: 65-76
7EEWay-Soong Lim, M. V. C. Rao: A new method of reducing network complexity in probabilistic neural network for target identification. IEICE Electronic Express 1(17): 534-539 (2004)
6EEChu Kiong Loo, Mandava Rajeswari, M. V. C. Rao: A Hybrid Intelligent Active Force Controller for Articulated Robot Arms Using Dynamic Structure Neural Network. Journal of Intelligent and Robotic Systems 40(2): 113-145 (2004)
2003
5EEChu Kiong Loo, Mandava Rajeswari, M. V. C. Rao: Extrapolation detection and novelty-based node insertion for sequential growing multi-experts network. Appl. Soft Comput. 3(2): 159-175 (2003)
4EEChu Kiong Loo, Mandava Rajeswari, M. V. C. Rao: Nonlinear dynamic system identification and control via constructivism inspired neural network. Appl. Soft Comput. 3(3): 237-257 (2003)
3EETiew-On Ting, M. V. C. Rao, Chu Kiong Loo, S. S. Ngu: Solving Unit Commitment Problem Using Hybrid Particle Swarm Optimization. J. Heuristics 9(6): 507-520 (2003)
2EEL. C. Kwek, E. K. Wong, Chu Kiong Loo, M. V. C. Rao: Application of Active Force Control and Iterative Learning in a 5-Link Biped Robot. Journal of Intelligent and Robotic Systems 37(2): 143-162 (2003)
2001
1EES. Baskar, P. Subbaraj, M. V. C. Rao: Performance of Hybrid Real Coded Genetic Algorithms. International Journal of Computational Engineering Science 2(4): 583-602 (2001)

Coauthor Index

1M. Senthil Arumugam [11] [13] [22] [24] [26] [27]
2S. Baskar [1]
3Aarthi Chandramohan [12] [13] [24]
4Roy Kwang Yang Chang [18]
5L. C. Kwek [2]
6Augustine Law [15]
7Wah Soon Lee [16]
8Chee Peng Lim [8] [14] [23] [25]
9Way-Soong Lim [7] [9] [15]
10Chu Kiong Loo [2] [3] [4] [5] [6] [9] [10] [15] [17] [18] [19]
11S. S. Ngu [3]
12Ramaswamy Palaniappan [11]
13Chen Li Poh [19]
14Mandava Rajeswari [4] [5] [6] [17]
15B. S. Daya Sagar [20] [21]
16P. Subbaraj [1]
17Alan W. C. Tan [20] [21] [27]
18Shing Chiang Tan [8] [14] [23] [25]
19Tiew-On Ting [3]
20E. K. Wong [2]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)