| Reverse engineering the neural networks for rule extraction in classification problems MG Augasta, T Kathirvalavakumar Neural processing letters 35, 131-150, 2012 | 217 | 2012 |
| Pruning algorithms of neural networks—a comparative study M Augasta, T Kathirvalavakumar Open Computer Science 3 (3), 105-115, 2013 | 155 | 2013 |
| Rule extraction from neural networks—a comparative study MG Augasta, T Kathirvalavakumar International Conference on Pattern Recognition, Informatics and Medical …, 2012 | 68 | 2012 |
| A novel pruning algorithm for optimizing feedforward neural network of classification problems MG Augasta, T Kathirvalavakumar Neural processing letters 34, 241-258, 2011 | 67 | 2011 |
| Neighborhood based modified backpropagation algorithm using adaptive learning parameters for training feedforward neural networks T Kathirvalavakumar, SJ Subavathi Neurocomputing 72 (16-18), 3915-3921, 2009 | 53 | 2009 |
| A modified backpropagation training algorithm for feedforward neural networks T Kathirvalavakumar, P Thangavel Neural Processing Letters 23, 111-119, 2006 | 34 | 2006 |
| A new discretization algorithm based on range coefficient of dispersion and skewness for neural networks classifier MG Augasta, T Kathirvalavakumar Applied Soft Computing 12 (2), 619-625, 2012 | 25 | 2012 |
| Adaptive modified backpropagation algorithm based on differential errors SJ Subavathi, T Kathirvalavakumar International Journal of Computer Science, Engineering and Applications 1 (5 …, 2011 | 25 | 2011 |
| Self organizing map and wavelet based image compression T Kathirvalavakumar, E Ponmalar International Journal of Machine Learning and Cybernetics 4, 319-326, 2013 | 17 | 2013 |
| Efficient harmful email identification using neural network T Kathirvalavakumar, K Kavitha, R Palaniappan British Journal of Mathematics & Computer Science 7 (1), 58-67, 2015 | 15 | 2015 |
| Face recognition based on wavelet packet coefficients and radial basis function neural networks T Kathirvalavakumar, JJB Vasanthi Scientific Research Publishing, 2013 | 14 | 2013 |
| A new learning algorithm using simultaneous perturbation with weight initialization T Kathirvalavakumar, P Thangavel Neural processing letters 17, 55-68, 2003 | 14 | 2003 |
| A new weight initialization method using Cauchy’s inequality based on sensitivity analysis T Kathirvalavakumar, SJ Subavathi Journal of Intelligent Learning Systems and Applications 3 (04), 242, 2011 | 10 | 2011 |
| Mining Intelligence and Knowledge Exploration R Prasath, P O’Reilly, T Kathirvalavakumar Springer International Publishing, Switzerland, 2014 | 9 | 2014 |
| Modified backpropagation algorithm with adaptive learning rate based on differential errors and differential functional constraints T Kathirvalavakumar, SJ Subavathi International Conference on Pattern Recognition, Informatics and Medical …, 2012 | 8 | 2012 |
| Features reduction using wavelet and discriminative common vector and recognizing faces using RBF T Kathirvalavakumar, JJB Vasanthi International Journal of Computer Applications 74 (5), 40-46, 2013 | 6 | 2013 |
| Simultaneous perturbation for single hidden layer networks—cascade learning P Thangavel, T Kathirvalavakumar Neurocomputing 50, 193-209, 2003 | 6 | 2003 |
| Training feedforward networks using simultaneous perturbation with dynamic tunneling P Thangavel, T Kathirvalavakumar Neurocomputing 48 (1-4), 691-704, 2002 | 6 | 2002 |
| Classifying Microarray Gene Expression Cancer Data Using Statistical Feature Selection and Machine Learning Methods S Alagukumar, T Kathirvalavakumar Congress on Intelligent Systems: Proceedings of CIS 2021, Volume 1, 63-77, 2022 | 4 | 2022 |
| Two dimensional feature extraction and blog classification using artificial neural network T Kathirvalavakumar International Journal of Applied Engineering Research 13 (9), 6536-6544, 2018 | 4 | 2018 |
