Comparison of Multi Layer Perceptron and Jordan Elman Neural Networks for Diagnosis of Hypertension
[ X ]
Tarih
2015
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Tsi Press
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, from 150 individuals over the age of 30 taken no drugs, sex, age, height, weight, HDL, LDL, Triglyceride, smoking and uric acid were measured. 65 of them are normal but 85 consist of the patients. This data was transferred to the computer by processing methods of quantitative analysis. Data obtained of each patient was applied Artificial Neural Network (ANN) models. The results obtained will be classified as either normal or the patient. Using Multi Layer Perceptron (MLP) neural network, 80.4% of patient individuals and 81.8% of normal individuals were classified correctly. Using Jordan Elman neural network, 85.3% of the patient individuals and 87.8% of normal individuals were classified correctly.
Açıklama
BARISCI, Necaattin/0000-0002-8762-5091
Anahtar Kelimeler
Multi Layer Perceptron (MLP) neural network, Hypertension, Jordan Elman neural network, Artificial Neural Networks (ANN)
Kaynak
Intelligent Automation And Soft Computing
WoS Q Değeri
Q4
Scopus Q Değeri
Q2
Cilt
21
Sayı
1
Künye
closedAccess
