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Journal Articles
- 2009
[j36]M. 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)- [j35]Way-Soong Lim, M. V. C. Rao:
A Locally-Tuned Minimal Resource Allocation Network For Pattern Classification. Intell. Autom. Soft Comput. 15(3): 385-401 (2009) - [j34]Shing Chiang Tan
, M. V. C. Rao, Chee Peng Lim:
An online pruning strategy for supervised ARTMAP-based neural networks. Neural Comput. Appl. 18(4): 387-395 (2009) - [j33]Roy Kwang Yang Chang, Chu Kiong Loo, M. V. C. Rao:
Enhanced probabilistic neural network with data imputation capabilities for machine-fault classification. Neural Comput. Appl. 18(7): 791-800 (2009) - 2008
- [j32]M. 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) - [j31]Shing 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) - [j30]Roy Kwang Yang Chang, Chu Kiong Loo, M. V. C. Rao:
A Global k-means Approach for Autonomous Cluster Initialization of Probabilistic Neural Network. Informatica (Slovenia) 32(2): 219-225 (2008) - [j29]M. 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) - [j28]Shing 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
- [j27]Shing Chiang Tan, Chee Peng Lim, M. V. C. Rao:
A hybrid neural network model for rule generation and its application to process fault detection and diagnosis. Eng. Appl. Artif. Intell. 20(2): 203-213 (2007) - [j26]M. Senthil Arumugam, M. V. C. Rao:
On a Class of Hybrid Systems via a Novel Approach for Real-Coded Genetic Algorithm with Hybrid Selection. Int. J. Inf. Technol. Decis. Mak. 6(2): 315-332 (2007) - [j25]Alan W. C. Tan, M. V. C. Rao, B. S. Daya Sagar:
A signal subspace approach for speech modelling and classification. Signal Process. 87(3): 500-508 (2007) - [j24]Alan W. C. Tan, M. V. C. Rao, B. S. Daya Sagar:
A composite signal subspace speech classifier. Signal Process. 87(11): 2600-2606 (2007) - [j23]Alan Wee-Chiat Tan, Machavaram Venkata Chalapathy Rao, B. S. Daya Sagar:
A Discriminative Signal Subspace Speech Classifier. IEEE Signal Process. Lett. 14(2): 133-136 (2007) - [j22]Alan W. C. Tan, M. V. C. Rao, B. S. Daya Sagar:
Robust Signal Subspace Speech Classifier. IEEE Signal Process. Lett. 14(11): 844-847 (2007) - 2006
- [j21]Chu Kiong Loo, Mandava Rajeswari, Machavaram Venkata Chalapathy Rao:
Robust incremental growing multi-experts network. Appl. Soft Comput. 6(2): 139-153 (2006) - [j20]Shing 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) - [j19]Wah Soon Lee, Machavaram Venkata Chalapathy Rao:
Modeling and design of tape transport mechanism. Math. Comput. Simul. 72(1): 26-37 (2006) - [j18]Chu Kiong Loo, Augustine Law, Way-Soong Lim, M. V. C. Rao:
Probabilistic ensemble simplified fuzzy ARTMAP for sonar target differentiation. Neural Comput. Appl. 15(1): 79-90 (2006) - [j17]Aarthi 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) - [j16]Aarthi 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
- [j15]M. 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) - [j14]Chu 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
- [j13]Chu Kiong Loo, Mandava Rajeswari, E. K. Wong, M. V. C. Rao:
Mobile Robot Path Planning Using Hybrid Genetic Algorithm and Traversability Vectors Method. Intell. Autom. Soft Comput. 10(1): 51-63 (2004) - [j12]Way-Soong Lim, M. V. C. Rao:
A new method of reducing network complexity in probabilistic neural network for target identification. IEICE Electron. Express 1(17): 534-539 (2004) - [j11]Chu Kiong Loo, Mandava Rajeswari, M. V. C. Rao:
A Hybrid Intelligent Active Force Controller for Articulated Robot Arms Using Dynamic Structure Neural Network. J. Intell. Robotic Syst. 40(2): 113-145 (2004) - [j10]Chu Kiong Loo, Mandava Rajeswari, Machavaram Venkata Chalapathy Rao:
Novel direct and self-regulating approaches to determine optimum growing multi-experts network structure. IEEE Trans. Neural Networks 15(6): 1378-1395 (2004) - 2003
- [j9]Chu 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) - [j8]Chu 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) - [j7]S. Baskar, P. Subbaraj, M. V. C. Rao:
Hybrid real coded genetic algorithm solution to economic dispatch problem. Comput. Electr. Eng. 29(3): 407-419 (2003) - [j6]Tiew-On Ting, M. V. C. Rao, Chu Kiong Loo, Sze-San Ngu:
Solving Unit Commitment Problem Using Hybrid Particle Swarm Optimization. J. Heuristics 9(6): 507-520 (2003) - [j5]Heng Siong Lim, M. V. C. Rao, Alan W. C. Tan, Hean-Teik Chuah:
Multiuser detection for DS-CDMA systems using evolutionary programming. IEEE Commun. Lett. 7(3): 101-103 (2003) - [j4]L. 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. J. Intell. Robotic Syst. 37(2): 143-162 (2003) - 2001
- [j3]S. Baskar, P. Subbaraj, M. V. C. Rao:
Performance of Hybrid Real Coded Genetic Algorithms. Int. J. Comput. Eng. Sci. 2(4): 583-602 (2001) - 1997
- [j2]M. V. C. Rao, V. Prahlad:
A tunable fuzzy logic controller for vehicle-active suspension systems. Fuzzy Sets Syst. 85(1): 11-21 (1997) - 1980
- [j1]G. V. Baliga, M. V. C. Rao:
On symmetric and unity interconnections between three nonlinear subsystems. Autom. 16(6): 711-713 (1980)
Conference and Workshop Papers
- 2007
- [c7]Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim:
A Mutation-Based Evolving Neural Network Model and Its Application to Condition Monitoring. IIH-MSP 2007: 65-68 - 2006
- [c6]Chen Li Poh, Chu Kiong Loo, M. V. C. Rao:
Autonomous and Deterministic Clustering for Evidence-Theoretic Classifier. ICONIP (2) 2006: 70-79 - [c5]Roy 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 - 2004
- [c4]Chu Kiong Loo, Way-Soong Lim, M. V. C. Rao:
Classifiers for Sonar Target Differentiation. KES 2004: 305-311 - [c3]Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim:
An Adaptive Fuzzy Min-Max Conflict-Resolving Classifier. WSC 2004: 65-76 - 2003
- [c2]Tiew-On Ting, M. V. C. Rao, Chu Kiong Loo, Sze-San Ngu:
A new class of operators to accelerate particle swarm optimization. IEEE Congress on Evolutionary Computation 2003: 2406-2410 - 1997
- [c1]A. V. Kishore, M. V. C. Rao:
A novel fuzzy based algorithm for radial basis function neural network. ICNN 1997: 2007-2011
Coauthor Index
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