scholarly journals THE RESULTS OF THE APPLICATION OF NEURO-FUZZY SYSTEM FOR DETECTION AND CLASSIFICATION OF ZIEHL-NIELSEN STAINED IMAGES OF SPUTUM SMEAR SAMPLES

2019 ◽  
pp. 95-99
Author(s):  
I.G. Shelomentseva ◽  
S.V. Chentsov ◽  
A.N. Narkevich
Keyword(s):  
Fuzzy System ◽  
Sputum Smear ◽  
Neuro Fuzzy

scholarly journals Classification Of Wheat Grains Using Image Processing Techniques Based Neuro-Fuzzy System Model

2018 ◽  
pp. 57-61
Author(s):  
Ahmet Kayabasi ◽  
Kadir Sabanci ◽  
Abdurrahim Toktas
Keyword(s):  
Image Processing ◽  
Fuzzy System ◽  
Absolute Error ◽  
Data Set ◽  
Wheat Grains ◽  
Image Processing Techniques ◽  
Neuro Fuzzy ◽  
Length Width ◽  
Processing Techniques

In this study, an image processing techniques (IPTs) and a Sugeno-typed neuro-fuzzy system (NFS) model is presented for classifying the wheat grains into bread and durum. Images of 200 wheat grains are taken by a high resolution camera in order to generate the data set for training and testing processes of the NFS model. The features of 5 dimensions which are length, width, area, perimeter and fullness are acquired through using IPT. Then NFS model input with the dimension parameters are trained through 180 wheat grain data and their accuracies are tested via 20 data. The proposed NFS model numerically calculate the outputs with mean absolute error (MAE) of 0.0312 and classify the grains with accuracy of 100% for the testing process. These results show that the IPT based NFS model can be successfully applied to classification of wheat grains.

A hybrid neuro-fuzzy system for ECG classification of myocardial infarction

2002 ◽  
Author(s):  
P. Bozzola ◽  
G. Bortolan ◽  
C. Combi ◽  
F. Pinciroli ◽  
C. BroHet
Keyword(s):  
Myocardial Infarction ◽  
Fuzzy System ◽  
Neuro Fuzzy

Classification of Aorta Insufficiency and Stenosis Using Neuro-Fuzzy System

2005 ◽  
Vol 29 (2) ◽  
pp. 155-165 ◽  
Author(s):  
Necaattin Barışçı ◽  
Ergün Topal ◽  
Fırat Hardalaç ◽  
İnan Güler
Keyword(s):  
Fuzzy System ◽  
Neuro Fuzzy

scholarly journals A neuro-fuzzy system for automated detection and classification of human intestinal parasites

2018 ◽  
Vol 13 ◽  
pp. 81-91 ◽  
Author(s):  
Oscar Takam Nkamgang ◽  
Daniel Tchiotsop ◽  
Beaudelaire Saha Tchinda ◽  
Hilaire Bertrand Fotsin
Keyword(s):  
Fuzzy System ◽  
Intestinal Parasites ◽  
Automated Detection ◽  
Neuro Fuzzy
Sign in / Sign up

Export Citation Format

Share Document