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The use of artificial neural networks (ANN) requires solving structural and parametric identification problems corresponding to the choice of the optimal network topology and its training (parameter settings). In contrast to the problem of determining the structure, which is a discrete optimization (combinatorial), the search for optimal parameters is carried out in continuous space using some optimization methods. The most widely used optimization method in deep learning is the first-orderdblp:conf/colins/RudenkoBO20 fatcat:urkwrrkkq5fqvjcrxkmto4move