S. Venkatesh

ROLE OF PARTITIONING BASED CLUSTERING ALGORITHMS IN CLASSIFYING MULTI-SOURCE PARTIAL DISCHARGE PATTERNS USING PROBABILSTIC NEURAL NETWORK AND ITS ADAPTIVE VERSION – A REVIEW

S. Venkatesh, S. Gopal, S. Jayalalitha, 2012 .

SURVEY OF DENOISING TECHNIQUES FOR PARTIAL DISCHARGE INTERFERENCES

G. Suganya, S. Venkatesh, S. Jayalalitha, 2017 .

ART 2 - an unsupervised neural network for PD pattern recognition and classification

B. Karthikeyan, S. Gopal, S. Venkatesh, 2006, Expert Syst. Appl..

Probabilistic Neural Network and its Adaptive Version - a Stochastic Approach to PD Pattern Classification Task

B. Karthikeyan, S. Gopal, S. Venkatesh, 2005, Int. J. Inf. Acquis..

Robust Heteroscedastic Probabilistic Neural Network for multiple source partial discharge pattern recognition - Significance of outliers on classification capability

S. Gopal, S. Venkatesh, S. Venkatesh, 2011, Expert Syst. Appl..

Orthogonal least square center selection technique - A robust scheme for multiple source Partial Discharge pattern recognition using Radial Basis Probabilistic Neural Network

S. Gopal, S. Venkatesh, S. Venkatesh, 2011, Expert Syst. Appl..

PNN AND ITS ADAPTIVE VERSION -- AN INGENIOUS APPROACH TO PD PATTERN CLASSIFICATION COMPARED WITH BPA NETWORK

Srinivasan Gopal, Subramanian Saravanan, Balasundaram Karthikeyan, 2006 .