Open AccessEFFECT OF TRAINING PARAMETERS ON THE ABILITY OF ARTIFICIAL NEURAL NETWORKS TO LEARN: A SIMULATION ON ACCELEROMETER DATA FOR TASK RECOGNITION IN MOTOR-MANUAL FELLING AND PROCESSING
Author(s) -
Marius Cheţa,
Marina Viorela Marcu,
Stelian Alexandru Borz
Publication year - 2020
Publication title -
bulletin of the "transilvania" university of braşov. series ii, forestry, wood industry, agricultural food engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.207
H-Index - 6
eISSN - 2065-2143
pISSN - 2065-2135
DOI - 10.31926/but.fwiafe.2020.13.62.1.2
Subject(s) - accelerometer , task (project management) , felling , artificial neural network , training (meteorology) , computer science , training set , artificial intelligence , machine learning , engineering , agroforestry , physics , systems engineering , meteorology , biology , operating system