M. V. C. Rao

According to our database, M. V. C. Rao authored at least 43 papers between 1980 and 2009.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2009

An online pruning strategy for supervised ARTMAP-based neural networks.

Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim

Neural Comput. Appl., 2009

Enhanced probabilistic neural network with data imputation capabilities for machine-fault classification.

Roy Kwang Yang Chang, Chu Kiong Loo, M. V. C. Rao

Neural Comput. Appl., 2009

A Locally-Tuned Minimal Resource Allocation Network For Pattern Classification.

Way-Soong Lim, M. V. C. Rao

Intell. Autom. Soft Comput., 2009

A novel and effective particle swarm optimization like algorithm with extrapolation technique.

M. Senthil Arumugam, Machavaram Venkata Chalapathy Rao, Alan W. C. Tan

Appl. Soft Comput., 2009

2008

A hybrid neural network classifier combining ordered fuzzy ARTMAP and the dynamic decay adjustment algorithm.

Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim

Soft Comput., 2008

A new and improved version of particle swarm optimization algorithm with global-local best parameters.

M. Senthil Arumugam, M. V. C. Rao, Aarthi Chandramohan

Knowl. Inf. Syst., 2008

A Global k-means Approach for Autonomous Cluster Initialization of Probabilistic Neural Network.

Roy Kwang Yang Chang, Chu Kiong Loo, M. V. C. Rao

Informatica (Slovenia), 2008

Fuzzy ARTMAP dynamic decay adjustment: An improved fuzzy ARTMAP model with a conflict resolving facility.

Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim

Appl. Soft Comput., 2008

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.

M. Senthil Arumugam, M. V. C. Rao

Appl. Soft Comput., 2008

2007

Robust Signal Subspace Speech Classifier.

Alan W. C. Tan, M. V. C. Rao, B. S. Daya Sagar

IEEE Signal Process. Lett., 2007

A Discriminative Signal Subspace Speech Classifier.

Alan Wee-Chiat Tan, Machavaram Venkata Chalapathy Rao, B. S. Daya Sagar

IEEE Signal Process. Lett., 2007

A composite signal subspace speech classifier.

Alan W. C. Tan, M. V. C. Rao, B. S. Daya Sagar

Signal Process., 2007

A signal subspace approach for speech modelling and classification.

Alan W. C. Tan, M. V. C. Rao, B. S. Daya Sagar

Signal Process., 2007

On a Class of Hybrid Systems via a Novel Approach for Real-Coded Genetic Algorithm with Hybrid Selection.

M. Senthil Arumugam, M. V. C. Rao

Int. J. Inf. Technol. Decis. Mak., 2007

A hybrid neural network model for rule generation and its application to process fault detection and diagnosis.

Shing Chiang Tan, Chee Peng Lim, M. V. C. Rao

Eng. Appl. Artif. Intell., 2007

A Mutation-Based Evolving Neural Network Model and Its Application to Condition Monitoring.

Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim

Proceedings of the 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007), 2007

2006

Two New and Useful Defuzzification Methods Based on Root Mean Square Value.

Aarthi Chandramohan, M. V. C. Rao, M. Senthil Arumugam

Soft Comput., 2006

A Novel Approach for Combining Fuzzy Rules Using Mean Operators for Effective Rule Reduction.

Aarthi Chandramohan, M. V. C. Rao

Soft Comput., 2006

Probabilistic ensemble simplified fuzzy ARTMAP for sonar target differentiation.

Chu Kiong Loo, Augustine Law, Way-Soong Lim, M. V. C. Rao

Neural Comput. Appl., 2006

Modeling and design of tape transport mechanism.

Wah Soon Lee, Machavaram Venkata Chalapathy Rao

Math. Comput. Simul., 2006

On the reduction of complexity in the architecture of fuzzy ARTMAP with dynamic decay adjustment.

Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim

Neurocomputing, 2006

Robust incremental growing multi-experts network.

Chu Kiong Loo, Mandava Rajeswari, Machavaram Venkata Chalapathy Rao

Appl. Soft Comput., 2006

Autonomous and Deterministic Probabilistic Neural Network Using Global <i>k</i>-Means.

Roy Kwang Yang Chang, Chu Kiong Loo, Machavaram Venkata Chalapathy Rao

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Autonomous and Deterministic Clustering for Evidence-Theoretic Classifier.

Chen Li Poh, Chu Kiong Loo, M. V. C. Rao

Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005

Accurate and Reliable Diagnosis and Classification Using Probabilistic Ensemble Simplified Fuzzy ARTMAP.

Chu Kiong Loo, M. V. C. Rao

IEEE Trans. Knowl. Data Eng., 2005

New hybrid genetic operators for real coded genetic algorithm to compute optimal control of a class of hybrid systems.

M. Senthil Arumugam, M. V. C. Rao, Ramaswamy Palaniappan

Appl. Soft Comput., 2005

2004

Novel direct and self-regulating approaches to determine optimum growing multi-experts network structure.

Chu Kiong Loo, Mandava Rajeswari, Machavaram Venkata Chalapathy Rao

IEEE Trans. Neural Networks, 2004

A Hybrid Intelligent Active Force Controller for Articulated Robot Arms Using Dynamic Structure Neural Network.

Chu Kiong Loo, Mandava Rajeswari, M. V. C. Rao

J. Intell. Robotic Syst., 2004

A new method of reducing network complexity in probabilistic neural network for target identification.

Way-Soong Lim, M. V. C. Rao

IEICE Electron. Express, 2004

Mobile Robot Path Planning Using Hybrid Genetic Algorithm and Traversability Vectors Method.

Chu Kiong Loo, Mandava Rajeswari, E. K. Wong, M. V. C. Rao

Intell. Autom. Soft Comput., 2004

An Adaptive Fuzzy Min-Max Conflict-Resolving Classifier.

Shing Chiang Tan, M. V. C. Rao, Chee Peng Lim

Proceedings of the Applied Soft Computing Technologies: The Challenge of Complexity, Proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications (WSC9), September 20th, 2004

Classifiers for Sonar Target Differentiation.

Chu Kiong Loo, Way-Soong Lim, M. V. C. Rao

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

2003

Application of Active Force Control and Iterative Learning in a 5-Link Biped Robot.

L. C. Kwek, E. K. Wong, Chu Kiong Loo, M. V. C. Rao

J. Intell. Robotic Syst., 2003

Multiuser detection for DS-CDMA systems using evolutionary programming.

Heng Siong Lim, M. V. C. Rao, Alan W. C. Tan, Hean-Teik Chuah

IEEE Commun. Lett., 2003

Solving Unit Commitment Problem Using Hybrid Particle Swarm Optimization.

Tiew-On Ting, M. V. C. Rao, Chu Kiong Loo, Sze-San Ngu

J. Heuristics, 2003

Hybrid real coded genetic algorithm solution to economic dispatch problem.

S. Baskar, P. Subbaraj, M. V. C. Rao

Comput. Electr. Eng., 2003

Nonlinear dynamic system identification and control via constructivism inspired neural network.

Chu Kiong Loo, Mandava Rajeswari, M. V. C. Rao

Appl. Soft Comput., 2003

Extrapolation detection and novelty-based node insertion for sequential growing multi-experts network.

Chu Kiong Loo, Mandava Rajeswari, M. V. C. Rao

Appl. Soft Comput., 2003

A new class of operators to accelerate particle swarm optimization.

Tiew-On Ting, M. V. C. Rao, Chu Kiong Loo, Sze-San Ngu

Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2001

Performance of Hybrid Real Coded Genetic Algorithms.

S. Baskar, P. Subbaraj, M. V. C. Rao

Int. J. Comput. Eng. Sci., 2001

1997

A tunable fuzzy logic controller for vehicle-active suspension systems.

M. V. C. Rao, V. Prahlad

Fuzzy Sets Syst., 1997

A novel fuzzy based algorithm for radial basis function neural network.

A. V. Kishore, M. V. C. Rao

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1980

On symmetric and unity interconnections between three nonlinear subsystems.

G. V. Baliga, M. V. C. Rao

Autom., 1980