Food demand prediction using the nonlinear autoregressive exogenous neural network

K Lutoslawski, M Hernes, J Radomska, M Hajdas… - IEEE …, 2021 - ieeexplore.ieee.org
Food demand prediction is a significant issue for both business process improvement and
sustainable development. Data science methods, including artificial intelligence methods …

Food demand prediction using the Nonlinear Autoregressive Exogenous Neural Network

K Lutosławski, M Hernes, J Radomska, M Hajdas… - IEEE Access, 2021 - wir.ue.wroc.pl
Food demand prediction is a significant issue for both businesses processes improvement
and sustainable development issues. The data science methods, including artificial …

[引用][C] Food Demand Prediction Using the Nonlinear Autoregressive Exogenous Neural Network

K Lutoslawski, M Hernes, J Radomska… - IEEE …, 2021 - ui.adsabs.harvard.edu
Food Demand Prediction Using the Nonlinear Autoregressive Exogenous Neural Network -
NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS Food …

Food demand prediction using the Nonlinear Autoregressive Exogenous Neural Network

K Lutosławski, M Hernes, J Radomska, M Hajdas… - IEEE Access, 2021 - wir.ue.wroc.pl
Food demand prediction is a significant issue for both businesses processes improvement
and sustainable development issues. The data science methods, including artificial …

Food demand prediction using the Nonlinear Autoregressive Exogenous Neural Network

K Lutosławski, M Hernes, J Radomska, M Hajdas… - IEEE Access, 2021 - wir.ue.wroc.pl
Food demand prediction is a significant issue for both businesses processes improvement
and sustainable development issues. The data science methods, including artificial …

Food demand prediction using the Nonlinear Autoregressive Exogenous Neural Network

K Lutosławski, M Hernes, J Radomska, M Hajdas… - IEEE Access, 2021 - wir.ue.wroc.pl
Food demand prediction is a significant issue for both businesses processes improvement
and sustainable development issues. The data science methods, including artificial …