Journal of Engineering and Applied Sciences
Year:
2020
Volume:
15
Issue:
6
Page No.
1337 - 1340
Approximation of Fractal Interpolation using Artificial Neural Network
Authors :
RashadA. Al-Jawfi
References
Barnsley, M.F., 1986. Fractal functions and interpolation Constructive Approximation, 2: 303-329.
CrossRef | Bressloff, P.C. and J. Stark, 1991. Neural Networks, Learning Automata and Iterated Function Systems. In: Fractals and Chaos, Crilly A.J., R.A. Earnshow and H. Jones (Eds.). Springer, New York, USA., ISBN: 978-1-4612-7770-5, pp: 145-190.
Gayatri, R.S., 2006. Fractal interpolation. M.Sc. Thesis, University of Tennessee, Knoxville, Tennessee.
Guerin, E., E. Tosan and A. Baskurt, 2000. Fractal coding of shapes based on a projected IFS model. Proceedings of the 2000 International Conference on Image Processing (Cat. No.00CH37101), September 10-13, 2000, IEEE, Vancouver, Canada, pp: 203-206.
Jacquin, A.E., 1992. Image coding based on a fractal theory of iterated contractive image transformations. IEEE Trans. Image Process., 1: 18-30.
CrossRef | Wang, J.J., 2000. Invertibdity in fractal geometry. Ph.D, Thesis, Foreign Language Training Center, National Sun Yat-sen University, Kaohsiung, Taiwan.
Zair, C.E. and E. Tosan, 1996. Fractal modeling using free form techniques. Comput. Graphics Forum, 15: 269-278.
CrossRef | Direct Link | Zair, C.E. and E. Tosan, 1997. Computer Aided Geometric Design with IFS Techniques. In: Fractals Frontiers, Novak, M.M. and T.G. Dewey (Eds.)., World Scientific Publishing, Singapore, pp: 443-452.
Zair, C.E. and E. Tosan, 1997. Unified IFS-based model to generate smooth or fractal forms. Surf. Fitting Multiresolution Methods, 1: 345-354.
Direct Link |