Eye Diseases Classification Using Back Propagation Artificial Neural Network
نویسندگان
چکیده
منابع مشابه
breathomics for gastric cancer classification using back-propagation neural network
breathomics is the metabolomics study of exhaled air. it is a powerful emerging metabolomics research field that mainly focuses onhealth-related volatile organic compounds (vocs). since the quantity of these compounds varies with health status, breathomics assuresto deliver noninvasive diagnostic tools. thus, the main aim of breathomics is to discover patterns of vocs related to abnormal metabo...
متن کاملFace Recognition System Using Back Propagation Artificial Neural Network
The problem in face recognition is to find the best match of an unknown image against a database of face models or to determine whether it does not match any of them well. In this method, we use back propagation neural network for implementation. It is an information processing system that has been developed as a generalization of the mathematical model of human recognition. The function of a n...
متن کاملBreathomics for Gastric Cancer Classification Using Back-propagation Neural Network
Breathomics is the metabolomics study of exhaled air. It is a powerful emerging metabolomics research field that mainly focuses on health-related volatile organic compounds (VOCs). Since the quantity of these compounds varies with health status, breathomics assures to deliver noninvasive diagnostic tools. Thus, the main aim of breathomics is to discover patterns of VOCs related to abnormal meta...
متن کاملIndian Monsoon Rainfall Classification And Prediction Using Robust Back Propagation Artificial Neural Network
In an agricultural country like India , monsoon plays a vital role as 75% of the population are intensely dependent on it. As the weather is nonlinear process and it changes day by day ANN can be used as a tool to classify as well as predict it. The paper proposes a model for rainfall classification and prediction using an artificial neural network and various test which were performed with the...
متن کاملPrediction of Cardiovascular Diseases Using an Optimized Artificial Neural Network
Introduction: It is of utmost importance to predict cardiovascular diseases correctly. Therefore, it is necessary to utilize those models with a minimum error rate and maximum reliability. This study aimed to combine an artificial neural network with the genetic algorithm to assess patients with myocardial infarction and congestive heart failure. Materials & Methods: This study utilized a m...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Engineering and Technology Journal
سال: 2021
ISSN: 2412-0758,1681-6900
DOI: 10.30684/etj.v39i1b.1363