Modelling of hysteresis loop and magnetic behaviour of Fe-48Ni alloys using artificial neural network coupled with genetic algorithm

PV Yekta, FJ Honar, MN Fesharaki - Computational Materials Science, 2019 - Elsevier
In this work, the application of a hybrid artificial neural network and genetic algorithm is
proposed for prediction of hysteresis loop and magnetic properties of Fe-48Ni permalloy as …

Effect of water deficit of Ultisols, Entisols, Spodosols, and Histosols on oil palm productivity in Central Kalimantan

S Sukarman, AR Saidy, G Rusmayadi… - … TANAH-Journal of …, 2022 - jurnal.uns.ac.id
The same rainfall can cause different degrees of water stress depending on soil type, so the
production response shown by plants can be different. This study is essential for growers …

Prediction of Oil Palm Production Using Recurrent Neural Network Long Short-Term Memory (RNN-LSTM)

M Syarovy, AP Nugroho, L Sutiarso… - Proceedings of the …, 2023 - books.google.com
Prediction of oil palm production is essential so all activities can be planned effectively and
efficiently, especially in financing. One can do many ways, one of which is utilizing …

[PDF][PDF] SAINS TANAH–Journal of Soil Science and Agroclimatology

CDAF Wirianata - academia.edu
The availability of sufficient water is vital in the palm's growth and development process (
Carr, 2011; Miranda et al., 2021; Perez, 2017). A water deficit is the main limiting cause of …