Determining the Carrot Volume via Radius and Length Using ANN

Authors

  • Mustafa Nevzat Örnek Selcuk University
  • Humar Kahramanli Selcuk University

DOI:

https://doi.org/10.18201/ijisae.2018642081

Keywords:

Carrot, carrots physical properties, ANN, PUNN, BP, LM

Abstract

In this study a total of 464 carrots were taken from Kaşınhanı, where the most carrots are produces in Turkey. The length and radiuses with an interval of 5 cm and volume were measured and recorded. Three different Artificial Neural Network models: BP, LM and PUNN were designed for predicting the carrot volume. To assess the success of the system, statistical measures such as Root Mean Squared Error, Mean Absolute Error and R2 were used. The results were showed that all three methods are successful in this problem, while LM and PUNN seems bit.

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Published

29.06.2018

How to Cite

Örnek, M. N., & Kahramanli, H. (2018). Determining the Carrot Volume via Radius and Length Using ANN. International Journal of Intelligent Systems and Applications in Engineering, 6(2), 165–169. https://doi.org/10.18201/ijisae.2018642081

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Section

Research Article