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This paper presents a theoretical analysis of the application of artificial neural networks for modeling the run-up time of combustion engines. Engine run-up time is defined as the period required for the crankshaft rotational speed to increase from an initial state to a specified operating level. The process is influenced by numerous nonlinear physical and chemical phenomena, including fuel properties, combustion dynamics, mechanical inertia, and operating conditions. Due to the complexity of these interactions, ...