| Measurement of software maintainability using a fuzzy model KK Aggarwal, Y Singh, P Chandra, M Puri Journal of Computer Sciences 1 (4), 538-542, 2005 | 91 | 2005 |
| An activation function adapting training algorithm for sigmoidal feedforward networks P Chandra, Y Singh Neurocomputing 61, 429-437, 2004 | 90 | 2004 |
| Bayesian regularization in a neural network model to estimate lines of code using function points KK Aggarwal, Y Singh, P Ch, M Puri | 88 | 2005 |
| Constructive neural networks: A review SK Sharma, P Chandra International journal of engineering science and technology 2 (12), 7847-7855, 2010 | 59 | 2010 |
| Feedforward sigmoidal networks-equicontinuity and fault-tolerance properties P Chandra, Y Singh IEEE Transactions on Neural Networks 15 (6), 1350-1366, 2004 | 54 | 2004 |
| A class+ 1 sigmoidal activation functions for FFANNs Y Singh, P Chandra Journal of Economic Dynamics and Control 28 (1), 183-187, 2003 | 49 | 2003 |
| Fault tolerance of feedforward artificial neural networks-a framework of study P Chandra, Y Singh Proceedings of the International Joint Conference on Neural Networks, 2003 …, 2003 | 49 | 2003 |
| Suitability of KNN regression in the development of interaction based software fault prediction models R Goyal, P Chandra, Y Singh Ieri Procedia 6, 15-21, 2014 | 38 | 2014 |
| Sigmoidal function classes for feedforward artificial neural networks P Chandra Neural Processing Letters 18 (3), 205-215, 2003 | 36 | 2003 |
| A Robust Fingerprint Matching System Using Orientation Features. R Kumar, P Chandra, M Hanmandlu Journal of information processing systems 12 (1), 2016 | 33 | 2016 |
| Evaluation of various training algorithms in a neural network model for software engineering applications KK Aggarwal, Y Singh, P Chandra, M Puri ACM SIGSOFT Software Engineering Notes 30 (4), 1-4, 2005 | 27 | 2005 |
| Sensitivity analysis of fuzzy and neural network models KK Aggarwal, Y Singh, P Chandra, M Puri ACM SIGSOFT Software Engineering Notes 30 (4), 1-4, 2005 | 27 | 2005 |
| Interval based weight initialization method for sigmoidal feedforward artificial neural networks SS Sodhi, P Chandra AASRI Procedia 6, 19-25, 2014 | 25 | 2014 |
| Comprehensive survey on data warehousing research P Chandra, MK Gupta International Journal of Information Technology 10 (2), 217-224, 2018 | 22 | 2018 |
| A case for the self-adaptation of activation functions in FFANNs P Chandra, Y Singh Neurocomputing 56, 447-454, 2004 | 22 | 2004 |
| Local directional pattern (LDP) based fingerprint matching using SLFNN R Kumar, P Chandra, M Hanmandlu 2013 IEEE Second International Conference on Image Information Processing …, 2013 | 20 | 2013 |
| A Novel approach to deep packet inspection for intrusion detection TJ Parvat, P Chandra Procedia Computer Science 45, 506-513, 2015 | 19 | 2015 |
| Bi-modal derivative activation function for sigmoidal feedforward networks SS Sodhi, P Chandra Neurocomputing 143, 182-196, 2014 | 19 | 2014 |
| An adaptive slope sigmoidal function cascading neural networks algorithm SK Sharma, P Chandra 2010 3rd International Conference on Emerging Trends in Engineering and …, 2010 | 19 | 2010 |
| An expert committee model to estimate lines of code KK Aggarwal, Y Singh, P Chandra, M Puri ACM SIGSOFT Software Engineering Notes 30 (5), 1-4, 2005 | 19 | 2005 |
Dr. RAVINDER KUMARAssociate Professor of CSE/ITVerified email at svsu.ac.in
