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Meghana Ransing
Meghana Ransing
CEO p-matrix Ltd, Swansea, UK
Verified email at p-matrix.com
Title
Cited by
Cited by
Year
An improved conjugate gradient based learning algorithm for back propagation neural networks
NM Nawi, RS Ransing, MR Ransing
International Journal of Computer and Information Engineering 2 (6), 2062-2071, 2008
802008
An improved learning algorithm based on the Broyden-Fletcher-Goldfarb-Shanno (BFGS) method for back propagation neural networks
NM Nawi, MR Ransing, RS Ransing
Sixth International Conference on Intelligent Systems Design and …, 2006
742006
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 …
RS Ransing, C Giannetti, MR Ransing, MW James
Computers in Industry 64 (5), 514-523, 2013
322013
A novel variable selection approach based on co-linearity index to discover optimal process settings by analysing mixed data
C Giannetti, RS Ransing, MR Ransing, DC Bould, DT Gethin, J Sienz
Computers & Industrial Engineering 72, 217-229, 2014
292014
A quality correlation algorithm for tolerance synthesis in manufacturing operations
RS Ransing, RS Batbooti, C Giannetti, MR Ransing
Computers & Industrial Engineering 93, 1-11, 2016
232016
“If only my foundry knew what it knows…”: a 7Epsilon perspective on root cause analysis and corrective action plans for ISO9001: 2008
HM Roshan, C Giannetti, MR Ransing, R Ransing
152014
A new method to improve the gradient based search direction to enhance the computational efficiency of back propagation based Neural Network algorithms
NM Nawi, RS Ransing, MR Ransing
2008 Second Asia International Conference on Modelling & Simulation (AMS …, 2008
152008
Knowledge management and knowledge discovery for process improvement and sustainable manufacturing: a foundry case study
C Giannetti, RS Ransing, MR Ransing, DC Bould, DT Gethin, J Sienz
Proceedings of the Sustainable Design and Manufacturing, 537-548, 2014
142014
An improved learning algorithm based on the conjugate gradient method for back propagation neural networks
NM Nawi, MR Ransing, RS Ransing
International Journal of Computer and Information Engineering 2 (8), 2770-2774, 2008
122008
Organisational knowledge management for defect reduction and sustainable development in foundries
C Giannetti, MR Ransing, RS Ransing, DC Bould, DT Gethin, J Sienz
International Journal of Knowledge and Systems Science (IJKSS) 6 (3), 18-37, 2015
112015
Product specific process knowledge discovery using co-linearity index and penalty functions to support process FMEA in the steel industry
C Giannetti, MR Ransing, RS Ransing, DC Bould, DT Gethin, J Sienz
Proceedings of the 44th International Conference Computer Industrial …, 2014
72014
Diagnostic apparatus
RS Ransing, MR Ransing, RW Lewis
US Patent 7,440,928, 2008
62008
Issues in learning cause and effect relationships from examples: With particular emphasis on casting processes
MR Ransing
PQDT-Global, 2002
62002
An approach for casting defect analysis employing finite element design optimisation, media axis transformation and neural networks
RW Lewis, MR Ransing, RS Ransing
International Journal of Cast Metals Research 15 (1), 41-53, 2002
52002
A bootstrap method for uncertainty estimation in quality correlation algorithm for risk based tolerance synthesis
RS Batbooti, RS Ransing, MR Ransing
Computers & Industrial Engineering 112, 654-662, 2017
42017
Seven steps to energy efficiency for foundries
SH Arjunwadkar, MR Ransing, R Ransing
Foundry Management and Technology 143 (3), 24, 2015
32015
“If Only My Foundry Knew What it Knows...”: A 7Epsilon Perspective on Root Cause Analysis and Corrective Action Plans for ISO9001: 2008
MR Ransing, R Ransing
32014
Innovations in machine learning and defect diagnostics
RS Ransing, MR Ransing
Foundry Trade Journal 181 (3645), 189, 2007
32007
Discover and embed product specific process knowledge inline with ISO9001: 2015 requirements
RS Batbooti, RS Ransing, MR Ransing
Proceedings–CIE 45, 2015, 2015
22015
Improving the gradient based search direction to enhance training efficiency of back propagation based neural network algorithms
NM Nawi, MR Ransing, RS Ransing
International Conference on Innovative Techniques and Applications of …, 2006
12006
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