Abstract
A promising direction has been substantiated that increases the efficiency of timber road transport during timber hauling, based on the development and use of various recuperative mechanisms in its design. The analysis of foreign literature has been carried out and the authors' developments and the obtained research results in this area are described. Parametric optimization of eight types of investigated recuperative energy-saving systems has been carried out on the basis of mathematical modeling. A diagram of options for optimizing the design parameters of energy-saving systems is presented, including one-factor, two-factor and multi-factor optimization. Algorithms for multifactorial optimization of design parameters and uniform distribution of a given number of points of a computer experiment in a multifactor space are presented. A mathematical apparatus for the uniform distribution of points in a multifactor space has been developed. The choice of neural network approximation for solving the problem of multifactor optimization is substantiated. An artificial neural network topology diagram is presented. An algorithm for studying the factor space using an approximating radial neural network has been developed. A method of multifactor optimization is proposed, which makes it possible to ensure a minimum of computer experiments that uniformly cover the multifactor space with highly detailed representation of response surfaces and ensuring the search for optimal regions of the factor space. Optimization of parameters of eight investigated recuperative energy-saving systems for timber road transport has been made.
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