FORCES PERFORMANCE OF TRAWL SYSTEM – II: PHYSICAL MODELING

The article is a continuation of scientific research and justification the possibility artificial intelligence technologies for tasks predictive modeling behavior trawl system in process fishing on self-learning neural network. definition productivity forces introduced - second time derivative work these forces. intermediate result design project an integrated set characteristics described form suitable its operation with given performance To proceed to modeling, it necessary determine extent similarity different areas interaction. There inter-discipline, which manifested formulation problems, ap-proaches their solution, revealing connections between theories, formation new disciplines. Interdisciplinarity allows conducting entirety, combining data from various disciplines (hydromechanics, electrodynamics, thermodynamics, acoustics, optics, etc.), leading emergence postulates laws that synthesize sci-entific knowledge network system. combine there was chosen theory as mathematical method based transition ordinary physical quantities affect being modeled generalized complex-type composed original quantities, but certain combinations, depending specific nature under study. complex has deep meaning reflecting interaction influences. studies methods constructing applying variables used cases when analytical solution problems impossible due complexity accuracy requirements. relations obtained basis mechanism study numerical or experiment.