Eye Diseases Classification Using Back Propagation With Parabola Learning Rate

Authors

Hanaa M. Ahmed, University of Technology, 52 St., Baghdad, IraqFollow
Shrooq R. Hameed, University of Technology, 52 St., Baghdad, IraqFollow

Document Type

Article

Abstract

Human eye disease classification adapted by many pieces of research in the last decade due to the importance of eye organ for humans and the evolution in classification techniques. Seven external eye diseases plus normal eye classified in this paper using backpropagation with linear cyclic learning rate-based parabola function. The classification accuracy achieved in this paper is (89.83%).

Keywords

Eye Diseases Classification, Back Propagation, Cyclic Learning Rate, Parabola Function.

Recommended Citation

Ahmed, Hanaa M. and Hameed, Shrooq R. (2021) "Eye Diseases Classification Using Back Propagation With Parabola Learning Rate," Al-Qadisiyah Journal of Pure Science: Vol. 26 : No. 1 , Article 20.
Available at: https://doi.org/10.29350/qjps.2021.26.1.1220

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.