M. V. C. Rao
According to our database1,
M. V. C. Rao
authored at least 43 papers
between 1980 and 2009.
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Bibliography
2009
Neural Comput. Appl., 2009
Enhanced probabilistic neural network with data imputation capabilities for machine-fault classification.
Neural Comput. Appl., 2009
Intell. Autom. Soft Comput., 2009
A novel and effective particle swarm optimization like algorithm with extrapolation technique.
Appl. Soft Comput., 2009
2008
A hybrid neural network classifier combining ordered fuzzy ARTMAP and the dynamic decay adjustment algorithm.
Soft Comput., 2008
A new and improved version of particle swarm optimization algorithm with global-local best parameters.
Knowl. Inf. Syst., 2008
A Global k-means Approach for Autonomous Cluster Initialization of Probabilistic Neural Network.
Informatica (Slovenia), 2008
Fuzzy ARTMAP dynamic decay adjustment: An improved fuzzy ARTMAP model with a conflict resolving facility.
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.
Appl. Soft Comput., 2008
2007
Signal Process., 2007
On a Class of Hybrid Systems via a Novel Approach for Real-Coded Genetic Algorithm with Hybrid Selection.
Int. J. Inf. Technol. Decis. Mak., 2007
A hybrid neural network model for rule generation and its application to process fault detection and diagnosis.
Eng. Appl. Artif. Intell., 2007
A Mutation-Based Evolving Neural Network Model and Its Application to Condition Monitoring.
Proceedings of the 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007), 2007
2006
Soft Comput., 2006
A Novel Approach for Combining Fuzzy Rules Using Mean Operators for Effective Rule Reduction.
Soft Comput., 2006
Neural Comput. Appl., 2006
On the reduction of complexity in the architecture of fuzzy ARTMAP with dynamic decay adjustment.
Neurocomputing, 2006
Autonomous and Deterministic Probabilistic Neural Network Using Global <i>k</i>-Means.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Proceedings of the Neural Information Processing, 13th International Conference, 2006
2005
Accurate and Reliable Diagnosis and Classification Using Probabilistic Ensemble Simplified Fuzzy ARTMAP.
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.
Appl. Soft Comput., 2005
2004
Novel direct and self-regulating approaches to determine optimum growing multi-experts network structure.
IEEE Trans. Neural Networks, 2004
A Hybrid Intelligent Active Force Controller for Articulated Robot Arms Using Dynamic Structure Neural Network.
J. Intell. Robotic Syst., 2004
A new method of reducing network complexity in probabilistic neural network for target identification.
IEICE Electron. Express, 2004
Mobile Robot Path Planning Using Hybrid Genetic Algorithm and Traversability Vectors Method.
Intell. Autom. Soft Comput., 2004
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
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004
2003
J. Intell. Robotic Syst., 2003
IEEE Commun. Lett., 2003
J. Heuristics, 2003
Comput. Electr. Eng., 2003
Nonlinear dynamic system identification and control via constructivism inspired neural network.
Appl. Soft Comput., 2003
Extrapolation detection and novelty-based node insertion for sequential growing multi-experts network.
Appl. Soft Comput., 2003
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
2001
1997
Fuzzy Sets Syst., 1997
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
1980
Autom., 1980