PSO, FA and GD algorithms for predicting industry failures

Hamameh Imad Nekhadovich

One of the goals of the smart industry is to reduce the number of failures, which reduces costs. To achieve this goal, technological processes are monitored and divided into multiple processes and the probability of success per process are calculated. The main contribution to this work was the proposal of methods for training neural networks.

Keywords:Artificial neural network; Fault prediction; Machine learning; Algorithms inspired by nature.