The Detection of Diabetics Based on Eye Conditions using Artificial Neural Network

Abstract

Artificial neural network are  mainly a computing systems  works as biological neural network and constitute of brains. This type of system acclimatizes and considers several sets of examples for analysis of the data. The examples for the same can be seen in some verification algorithm. The algorithm will be set for a specific task to be done, to which the desired inputs are given which are then checked and verified to forge out the final output. Just like human neural network system cognits, the artificial neural system or network is an attempt at making a computerized version of the brain. This includes abstinence of the traditional methods and developing a system that can work more efficiently. This paper covers biomedical applications using artificial neural system. The primal purpose of the paper is to analyze and study the distinct conditions/ levels of a diabetic eye. Abreast all this, the ANN dockets and learns from all the previous inputs and data to improve itself continuously.