Damage to hoisting (PMG ) is an important issue. For repair service is required to conduct a series of works to determine the number of specialists required to participate in repair work . The paper proposes a method based on the construction of a regression model is the dependence of efficient performance of the input factors. For selection of relevant factors method based on Parallel Genetic Algorithms . Then , given the constraints on the input factors and the effective indexes , optimization problem is solved to determine the best values of the input factors and output indicators.
Регрессионный анализ, отбор значимых признаков, моделирование сложных систем, ремонт грузоподъемных механизмов, Regression analysis, the selection of significant features, simulation of complex systems, repair of hoisting
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