Use of machine learning tools to estimate drying rate of apple and apricot wood discs

This study compares three machine learning (ML) models -artificial neural networks (ANN), recurrent neural networks (RNN), and extreme gradient boosting (XGBoost)- for predicting the drying kinetics of wood biomass from the clearing of outdated apple and apricot orchards. The primary goal was to op...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Martina Balac, Andrija Rajković, Mihailo Milanović, Zoran Mileusnić, Rajko Miodragović, Aleksandra Dragičević, Olivera Ećim-Đurić
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	PAGEPress Publications 2025-09-01
سلاسل:	Journal of Agricultural Engineering
الموضوعات:	artificial neural network recurrent neural networks XGBoost wood drying
الوصول للمادة أونلاين:	https://www.agroengineering.org/jae/article/view/1712
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!