Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
A new fractal interpolation method called NNA (Neural Network Algorithm) based on IFS is proposed to interpolate the self-affine signals with the expected interpolation error. Experiments on the theoretical data and real field seismic data show that the proposed interpolation schemes can not only get the expected point’s value but also get a great accuracy in reconstruction of the seismic profile, leading to a significant improvement over other trace interpolation methods.
How to cite this article:
Rashad A. Al-Jawfi. Approximation of Fractal Interpolation using Artificial Neural Network.
DOI: https://doi.org/10.36478/jeasci.2020.1337.1340
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2020.1337.1340