Eye Diseases Classification Using Back Propagation with Welch Estimation Based-Learning Rate
نویسندگان
چکیده
Human eye disease classification adapted by many pieces of research in the last decade due to importance organ for humans and evolution techniques. External diseases classified this paper using backpropagation with non-linear cyclic learning rate based on welch estimation as a step improving performance backpropagation. As result, Classification accuracy achieved is (93.22%).
منابع مشابه
improving multilayer back propagation neural networks by using variable learning rate and automata theory and determining optimum learning rate
multilayer bach propagation neural networks have been considered by researchers. despite their outstanding success in managing contact between input and output, they have had several drawbacks. for example the time needed for the training of these neural networks is long, and some times not to be teachable. the reason for this long time of teaching is due to the selection unsuitable network par...
متن کاملEmail Classification Using Back Propagation Technique
This paper proposes a new email classification model using a teaching process of multi-layer neural network to implement back propagation technique. Email has become one of the fastest and most efficient forms of communication. However, the increase of email users with high volume of email messages could lead to un-structured mail boxes, email congestion, email overload, unprioritised email mes...
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 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 کاملLearning sets of filters using back-propagation
A learning procedure, called back-propagation, for layered networks of deterministic, neuron-like units has been described previously. The ability of the procedure automatically to discover useful internal representations makes it a powerful tool for attacking difficult problems like speech recognition. This paper describes further research on the learning procedure and presents an example in w...
متن کاملAudio classification using extended baum-welch transformations
Audio classification has applications in a variety of contexts, such as automatic sound analysis, supervised audio segmentation and in audio information search and retrieval. Extended Baum-Welch (EBW) transformations are most commonly used as a discriminative technique for estimating parameters of Gaussian mixtures, though recently they have been applied in unsupervised audio segmentation. In t...
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: Mag?allat? al-qa?disiyyaat? li-l-?ulu?m al-s?irfat?
سال: 2021
ISSN: ['1997-2490', '2411-3514']
DOI: https://doi.org/10.29350/qjps.2021.26.1.1231