PRACTICAL APPLICATION OF ARTIFICIAL NEURAL NETWORK IN MANAGEMENT

Kadirova Sh.A.; Matyakubova P.M.; G.G. Boboev; Makhmudzhonov M.M.

doi:10.5281/zenodo.10396077

Kadirova Sh.A., Matyakubova P.M., G.G. Boboev, Makhmudzhonov M.M.

Abstract. The work discusses the practical application of an artificial neural network for solving complex, non-formalizable problems, such as pattern recognition, image processing, information processing, etc., as well as for controlling complex nonlinear dynamic objects. Artificial neural networks are based on the features of living neural networks, which allow them to solve various problems and are able to indicate the confidence level of each solution in a specific and logical way. In neural networks, all mathematical operations are carried out by a training program called a learning cycle

Keywords: artificial intelligence, artificial neuron, neural network, biological neuron, weight coefficient, excitation functions, expert system, weight module, characteristic function, training sample, learning cycle

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