C. Balasubramanyam, M. S. Ajay, K. R. Spandana, Amogh B. Shetty, K. N. Seetharamu, "Curve Fitting for Coarse Data Using Artificial Neural Network," WSEAS Transactions on Mathematics, vol. 13, pp. 406-415, 2014, DOI:
C. Balasubramanyam, M. S. Ajay, K. R. Spandana, Amogh B. Shetty, K. N. Seetharamu. Curve Fitting for Coarse Data Using Artificial Neural Network.
WSEAS Transactions on Mathematics. 2014;13:406-415.
WSEAS Transactions on Mathematics
Print ISSN: 1109-2769, E-ISSN: 2224-2880
Volume 13, 2014
Curve Fitting for Coarse Data Using Artificial Neural Network
Authors: , , , ,
Abstract: This paper demonstrates the capability of curve fitting using Artificial Neural Network (ANN), not only for a moderate set of input data but also for a coarse set of input. When appropriate number of neurons is chosen for the training purpose, accurate graphs can be obtained, despite having a coarse data. The effect of number of neurons used for curve fitting and the accuracy obtained is also studied. This aspect of ANN has been illustrated through 2 examples, Weibull distribution and another complex sinusoidal system. This curve fitting technique has been applied to a real world problem i.e. mechanism of a deep drawing press, for both slider displacement and slider velocity.
Pages: 406-415 WSEAS Transactions on Mathematics, ISSN / E-ISSN: 1109-2769 / 2224-2880, Volume 13, 2014, Art. #38 DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.
×
Citation Tools