An Analytical Mathematical Study of Artificial Neural Network Algorithms in the Suitability of a Model for Medical Diagnosis

In this research discuss the concept of appropriate form, by examining mathematical behavior for three models represent neural networks are (GRNN, BPNN, PNN), were applied two types of medical data are (osteoporosis and weaknesses auditory) and different in the way of classification and spaces Input...

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Main Authors: Omar Qasim, Israa Mohammed
Format: Article
Language:English
Published: Mosul University 2013-03-01
Series:Al-Rafidain Journal of Computer Sciences and Mathematics
Subjects:
Online Access:https://csmj.mosuljournals.com/article_163451_7d6619de06ebc74dbb9a0cd63212f701.pdf
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author Omar Qasim
Israa Mohammed
author_facet Omar Qasim
Israa Mohammed
author_sort Omar Qasim
collection DOAJ
description In this research discuss the concept of appropriate form, by examining mathematical behavior for three models represent neural networks are (GRNN, BPNN, PNN), were applied two types of medical data are (osteoporosis and weaknesses auditory) and different in the way of classification and spaces Input and output, and show through the application of these data and suitability models with neural networks in terms of the Domain and Range the network (PNN) is the best in the diagnosis of audio data through average MSE, and network (GRNN) is better diagnose bone crisp data (which are more complex) and the network (BPNN) is the most generalization, especially when test data are large compared with the training data.
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spelling doaj-art-bf0ba032ea8c4d1ab9c704d64c2fd8612025-08-20T02:00:33ZengMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902013-03-0110118319410.33899/csmj.2013.163451163451An Analytical Mathematical Study of Artificial Neural Network Algorithms in the Suitability of a Model for Medical DiagnosisOmar Qasim0Israa Mohammed1College of Computer Science and Mathematics University of Mosul, Mosul, IraqCollege of Computer Science and Mathematics University of Mosul, Mosul, IraqIn this research discuss the concept of appropriate form, by examining mathematical behavior for three models represent neural networks are (GRNN, BPNN, PNN), were applied two types of medical data are (osteoporosis and weaknesses auditory) and different in the way of classification and spaces Input and output, and show through the application of these data and suitability models with neural networks in terms of the Domain and Range the network (PNN) is the best in the diagnosis of audio data through average MSE, and network (GRNN) is better diagnose bone crisp data (which are more complex) and the network (BPNN) is the most generalization, especially when test data are large compared with the training data.https://csmj.mosuljournals.com/article_163451_7d6619de06ebc74dbb9a0cd63212f701.pdfclassificationregressionperceptron nnbackpropagation nn
spellingShingle Omar Qasim
Israa Mohammed
An Analytical Mathematical Study of Artificial Neural Network Algorithms in the Suitability of a Model for Medical Diagnosis
Al-Rafidain Journal of Computer Sciences and Mathematics
classification
regression
perceptron nn
backpropagation nn
title An Analytical Mathematical Study of Artificial Neural Network Algorithms in the Suitability of a Model for Medical Diagnosis
title_full An Analytical Mathematical Study of Artificial Neural Network Algorithms in the Suitability of a Model for Medical Diagnosis
title_fullStr An Analytical Mathematical Study of Artificial Neural Network Algorithms in the Suitability of a Model for Medical Diagnosis
title_full_unstemmed An Analytical Mathematical Study of Artificial Neural Network Algorithms in the Suitability of a Model for Medical Diagnosis
title_short An Analytical Mathematical Study of Artificial Neural Network Algorithms in the Suitability of a Model for Medical Diagnosis
title_sort analytical mathematical study of artificial neural network algorithms in the suitability of a model for medical diagnosis
topic classification
regression
perceptron nn
backpropagation nn
url https://csmj.mosuljournals.com/article_163451_7d6619de06ebc74dbb9a0cd63212f701.pdf
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