Design of Neural Network Predictor for the Physical Properties of Almond Nuts
Özet
In this study, an adaptive neuro fuzzy interface system (ANFIS) based predictor was designed to predict the physical properties of four almond types. Measurements of the dimensions, length, width and thickness were carried out for one hundred randomly selected samples of each type. With using these three major perpendicular dimensions, some physical parameters such as projected area, arithmetic mean diameter, geometric mean diameter, sphericity, surface area, volume, shape index and aspect ratio were estimated. In in a various Artificial Neural Network (ANN) structures, ANFIS structure which has given the best results was selected. The parameters analytically estimated and those predicted were given in the form of figures. The root mean-squared error (RMSE) was found to be 0.0001 which is quite low. ANFIS approach has given a superior outcome in the prediction of the Physical Properties of Almond Nuts.
Anahtar kelimeler
Atıf için künye
ESKİ, İ., Demir, B., GÜRBÜZ, F., KUŞ, Z. A., Yilmaz, K. U., UZUN, M., & Ercişli, S. (2018). Design of Neural Network Predictor for the Physical Properties of Almond Nuts. ERWERBS-OBSTBAU, 60(2), 153–160. https://doi.org/10.1007/s10341-017-0349-3
BibTeX
@article{eski2018-264251,
author = {ESKİ, İKBAL and Demir, Bunyamin and GÜRBÜZ, FEYZA and KUŞ, ZEYNEL ABİDİN and Yilmaz, Kadir Ugurtan and UZUN, Mehmet and Ercişli, Sezai},
title = {Design of Neural Network Predictor for the Physical Properties of Almond Nuts},
journal = {ERWERBS-OBSTBAU},
year = {2018},
volume = {60},
number = {2},
pages = {153--160},
issn = {0014-0309},
doi = {10.1007/s10341-017-0349-3},
url = {https://akademik.atauni.edu.tr/yayinlar/264251-design-of-neural-network-predictor-for-the-physical-properties-of-almond-nuts}
}