A Comparative Classification of Wheat Grains for Artificial Neural Network and Extreme Learning Machine

Year 2017, Volume: 1 Issue: 1, 14 - 21, 27.12.2017

Muhammet Fatih Aslan , Kadir Sabancı , Enes Yiğit , Ahmet Kayabaşı , Abdurrahim Toktaş , Hüseyin Duysak

Abstract

In this study, classification of two types of wheat grains
into bread and durum was carried out. The species of wheat grains in this
dataset are bread and durum and these species have equal samples in the dataset
as 100 instances. Seven features, including width, height, area, perimeter,
roundness, width and perimeter/area were extracted from each wheat grains. Classification
was separately conducted by Artificial Neural Network (ANN) and Extreme Learning Machine (ELM)
artificial intelligence techniques. Then the performances of models are
compared each other. The accuracy of testing was calculated 97.89% and 96.79%
for ANN and ELM, respectively. 

Keywords

Classification, Wheat Grains, Artificial Neural Network, Extreme Learning Machine

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