no code implementations • 23 Feb 2022 • Guodao Zhang, Shahab S. Band, Sina Ardabili, Kwok-wing Chau, Amir Mosavi
Whilst the ANFIS model is extremely stable for almost all numbers of membership functions, the BNN model is highly sensitive to this scale factor to predict DPT.
no code implementations • 29 Apr 2021 • Saeed Nosratabadi, Sina Ardabili, Zoltan Lakner, Csaba Mako, Amir Mosavi
First, 70% of this data was used to train ANFIS and MLP, and the remaining 30% of the data was used to test the models.
no code implementations • 8 Mar 2020 • Saeed Nosratabadi, Felde Imre, Karoly Szell, Sina Ardabili, Bertalan Beszedes, Amir Mosavi
Prediction of crop yield is essential for food security policymaking, planning, and trade.
no code implementations • 22 Feb 2020 • Laszlo Nadai, Felde Imre, Sina Ardabili, Tarahom Mesri Gundoshmian, Pinter Gergo, Amir Mosavi
Novel applications of artificial intelligence for tuning the parameters of industrial machines for optimal performance are emerging at a fast pace.
no code implementations • 22 Feb 2020 • Sina Ardabili, Bertalan Beszedes, Laszlo Nadai, Karoly Szell, Amir Mosavi, Felde Imre
Hybridization of machine learning methods with soft computing techniques is an essential approach to improve the performance of the prediction models.