Author(s)

Raghu T Mylavarapu¹, Bharadwaja Krishnadev Mylavarapu², Uday Shankar Sekhar³

¹Regional Development Center, KPMG LLP, Montvale, NJ, USA.
²Business Analytics Lead, Department of Analytics, PLM COE, PDM, John Deere Co, Moline, IL, USA.
³Financial Serivces Office, Global Data Analytics Platform, Ey, New York, USA.

In this paper we employ artificial neural networks for predictive approximation of generalized functions having crucial applications in different areas of science including mechanical and chemical engineering, signal processing, information transfer, telecommunications, finance, etc. Results of numerical analysis are discussed. It is shown that the known Gibb’s phenomenon does not occur.

Function Interpolation, Hidden Layer, Weight, Bias, Machine Learning, Distributions, Dirac’s Function, Heaviside’s Function, Gibb’s Phenomenon

Mylavarapu, R. , Mylavarapu, B. and Sekhar, U. (2018) Interpolation of Generalized Functions Using Artificial Neural Networks. Journal of Computer and Communications, 6, 34-40. doi: 10.4236/jcc.2018.67004.