title: Computational model of hull steel potential values in sea water
abstract: The article provides an analysis of existing neural network models. The features of constructing a neural network using several parameters that affect the output value are described. The advantages of using neural networks and computing systems based on them are revealed. The task was solved using the Python programming language. The computing model of the potential values of steel with an oxide film and the potential of steel without an oxide film has been developed for various salinity of sea 
journal: Russian Journal of Water Transport