Rajesh S. Ransing

Orcid: 0000-0003-4848-4545

According to our database1, Rajesh S. Ransing authored at least 13 papers between 1995 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
A novel imputation based predictive algorithm for reducing common cause variation from small and mixed datasets with missing values.
Comput. Ind. Eng., May, 2023

2017
A bootstrap method for uncertainty estimation in quality correlation algorithm for risk based tolerance synthesis.
Comput. Ind. Eng., 2017

2016
A quality correlation algorithm for tolerance synthesis in manufacturing operations.
Comput. Ind. Eng., 2016

Risk based uncertainty quantification to improve robustness of manufacturing operations.
Comput. Ind. Eng., 2016

2015
Organisational Knowledge Management for Defect Reduction and Sustainable Development in Foundries.
Int. J. Knowl. Syst. Sci., 2015

Data Mining and Knowledge Discovery Approach for Manufacturing in Process Data Optimization.
Proceedings of the Research and Development in Intelligent Systems XXXII, 2015

2014
A novel variable selection approach based on co-linearity index to discover optimal process settings by analysing mixed data.
Comput. Ind. Eng., 2014

2013
A coupled penalty matrix approach and principal component based co-linearity index technique to discover product specific foundry process knowledge from in-process data in order to reduce defects.
Comput. Ind., 2013

2010
An Improved Back Propagation Neural Network Algorithm on Classification Problems.
Proceedings of the Database Theory and Application, Bio-Science and Bio-Technology, 2010

2008
A New Method to Improve the Gradient Based Search Direction to Enhance the Computational Efficiency of Back Propagation Based Neural Network Algorithms.
Proceedings of the Second Asia International Conference on Modelling and Simulation, 2008

2006
Improving the Gradient Based Search Direction to Enhance Training Efficiency of Back Propagation Based Neural Network Algorithms.
Proceedings of the Research and Development in Intelligent Systems XXIII, 2006

An Improved Learning Algorithm Based on The Broyden-Fletcher-Goldfarb-Shanno (BFGS) Method For Back Propagation Neural Networks.
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

1995
ICADA: Intelligent computer aided defect analysis for castings.
J. Intell. Manuf., 1995


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