@article{article_332770, title={Application of Artificial Neural Network for Wheat Type Classification: A Novel Artificial Intelligence Training Software}, journal={Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi}, volume={21}, pages={246–257}, year={2018}, DOI={10.17780/ksujes.332770}, url={https://izlik.org/JA82AA63LY}, author={Öztürk, Müslüm and Paksoy, Turan}, keywords={Artificial Neural Networks,Artificial Intelligence,Classification,Artificial Intelligence Training Application,Interface}, abstract={<p style="margin-top:0cm;margin-right:0cm;margin-bottom:12pt;margin-left:0cm;text-align:justify;text-indent:0cm;line-height:150%;"> <i> <span lang="en-us" style="font-size:9pt;line-height:150%;" xml:lang="en-us">In this
study, a training software with a visual interface was developed by using C#
programming language in .NET platform for the purpose of using it in artificial
neural networks’ training. The created artificial neural network classification
software was applied on wheat type classification case study and successful
results were achieved. Additionally, the importance of artificial neural
networks was mentioned in the study. Backpropagation algorithm was utilized in
wheat type classification case and in the developed software in order to
eliminate the difficulty and complexity of the use of current software in an artificial
neural network training process. Additionally, the developed software was
designed in flexible and convenient structure as to be used in the applications
which could be solved with artificial neural networks and other all kinds of
studies. </span> </i> <span lang="en-us" style="font-size:11pt;line-height:150%;" xml:lang="en-us"> </span> </p> <p> </p>}, number={3}