| An activation function adapting training algorithm for sigmoidal feedforward networks P Chandra, Y Singh Neurocomputing 61, 429-437, 2004 | 100 | 2004 |
| 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 | 93 | 2005 |
| Bayesian regularization in a neural network model to estimate lines of code using function points KK Aggarwal, Y Singh, P Ch, M Puri | 93 | 2005 |
| Constructive neural networks: A review SK Sharma, P Chandra International journal of engineering science and technology 2 (12), 7847-7855, 2010 | 67 | 2010 |
| A class+ 1 sigmoidal activation functions for FFANNs Y Singh, P Chandra Journal of Economic Dynamics and Control 28 (1), 183-187, 2003 | 58 | 2003 |
| Feedforward sigmoidal networks-equicontinuity and fault-tolerance properties P Chandra, Y Singh IEEE Transactions on Neural Networks 15 (6), 1350-1366, 2004 | 56 | 2004 |
| 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 | 54 | 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 | 52 | 2014 |
| A comprehensive survey of data mining MK Gupta, P Chandra International Journal of Information Technology 12 (4), 1243-1257, 2020 | 48 | 2020 |
| Sigmoidal function classes for feedforward artificial neural networks P Chandra Neural Processing Letters 18 (3), 205-215, 2003 | 42 | 2003 |
| A robust fingerprint matching system using orientation features R Kumar, P Chandra, M Hanmandlu Journal of information processing systems 12 (1), 83-99, 2016 | 35 | 2016 |
| Comprehensive survey on data warehousing research P Chandra, MK Gupta International Journal of Information Technology 10 (2), 217-224, 2018 | 32 | 2018 |
| Interval based weight initialization method for sigmoidal feedforward artificial neural networks SS Sodhi, P Chandra Aasri Procedia 6, 19-25, 2014 | 30 | 2014 |
| 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 |
| A note on optimum cluster estimation in leach protocol NR Roy, P Chandra IEEE Access 6, 65690-65696, 2018 | 26 | 2018 |
| Software fault prediction using machine-learning techniques D Sharma, P Chandra Smart computing and informatics, 541-549, 2018 | 24 | 2018 |
| Bi-modal derivative activation function for sigmoidal feedforward networks SS Sodhi, P Chandra Neurocomputing 143, 182-196, 2014 | 24 | 2014 |
| A case for the self-adaptation of activation functions in FFANNs P Chandra, Y Singh Neurocomputing 56, 447-454, 2004 | 23 | 2004 |
| A comparative analysis of soft computing techniques in software fault prediction model development D Sharma, P Chandra International Journal of Information Technology 11 (1), 37-46, 2019 | 22 | 2019 |
Manoj Kumar GuptaBhagwan Parshuram Institute of TechnologyVerified email at rdias.ac.in
