M. V. C. Rao

Publication Activity (10 Years)

Years Active: 1980-2009
Publications (10 Years): 0

Publications

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) (2009)
Way-Soong Lim, M. V. C. Rao
A Locally-Tuned Minimal Resource Allocation Network For Pattern Classification. Intell. Autom. Soft Comput. 15 (3) (2009)
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) (2009)
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) (2008)
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) (2008)
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) (2008)
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) (2008)
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) (2008)
Alan W. C. Tan, M. V. C. Rao, B. S. Daya Sagar
A composite signal subspace speech classifier. Signal Process. 87 (11) (2007)
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)
Alan W. C. Tan, M. V. C. Rao, B. S. Daya Sagar
Robust Signal Subspace Speech Classifier. IEEE Signal Process. Lett. 14 (11) (2007)
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) (2007)
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) (2007)
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) (2007)
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) (2006)
Chen Li Poh, Chu Kiong Loo, M. V. C. Rao
Autonomous and Deterministic Clustering for Evidence-Theoretic Classifier. ICONIP (2) (2006)
Aarthi Chandramohan, M. V. C. Rao
A Novel Approach for Combining Fuzzy Rules Using Mean Operators for Effective Rule Reduction. Soft Comput. 10 (11) (2006)
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) (2006)
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) (2006)
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) (2005)
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) (2005)
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) (2004)
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) (2004)
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) (2004)
Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim
An Adaptive Fuzzy Min-Max Conflict-Resolving Classifier. WSC (2004)
Chu Kiong Loo, Way-Soong Lim, M. V. C. Rao
Classifiers for Sonar Target Differentiation. KES (2004)
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) (2003)
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)
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) (2003)
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) (2003)
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) (2003)
S. Baskar, P. Subbaraj, M. V. C. Rao
Hybrid real coded genetic algorithm solution to economic dispatch problem. Comput. Electr. Eng. 29 (3) (2003)
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) (2003)
S. Baskar, P. Subbaraj, M. V. C. Rao
Performance of Hybrid Real Coded Genetic Algorithms. Int. J. Comput. Eng. Sci. 2 (4) (2001)
A. V. Kishore, M. V. C. Rao
A novel fuzzy based algorithm for radial basis function neural network. ICNN (1997)
M. V. C. Rao, V. Prahlad
A tunable fuzzy logic controller for vehicle-active suspension systems. Fuzzy Sets Syst. 85 (1) (1997)
G. V. Baliga, M. V. C. Rao
On symmetric and unity interconnections between three nonlinear subsystems. Autom. 16 (6) (1980)