Predicting Auger Energy Consumption for Olive Orchards Using the Artificial Neural Networks

Predicting Auger Energy Consumption for Olive Orchards Using the Artificial Neural Networks

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The present work aims to study the development and application of Radial Basis Function (RBF) networks for predicting auger energy consumption based on input energy. The study utilized RBF networks and explored the input energy with treatments 2 (Soil moisture content), 2 (Rotary speeds), 2 (Hole de...

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Bibliographic Details
Main Authors: Othman M.M. Tofeq, Yousif Y. Hilal, Husain A. Hamood
Format: Article
Language:English
Published: University of Basrah 2023-06-01
Series:Maǧallaẗ al-baṣraẗ al-ʻulūm al-zirāʻiyyaẗ
Subjects:
Auger
Hidden Layer
Human Energy
Rotary Speeds
Soil Moisture
Online Access:https://bjas.bajas.edu.iq/index.php/bjas/article/view/910

Internet

https://bjas.bajas.edu.iq/index.php/bjas/article/view/910

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