NEURAL NETWORK METHODS FOR DESIGNING THE STRUCTURAL AND SPECIES DIVERSITY OF PRODUCTS AND PRODUCTION (REVIEW OF APPROACHES)

Abstract

Aim of study of article is to identify, based on a review of key publications, functional parameters of optimization of neural network models of production process, as well as to substantiate a cenological approach for their integration in the form of hybrid approach in ecosystem analogies. Methodological base research foresees empirical analysis of identified on the basis of logical argumentation the main scientific ideas in this area, carrying out their critical analysis, as well as identifying the relationship of problem under consideration with using the cenological approach and argumentation of technology complexity reduction. 2021 № 1 (73) Вестник Ростовского государственного экономического университета (РИНХ) Results of research are revealed advantages and shortcomings of existing approaches, as well as justification as a basis formation of new conceptual model for overcoming problems difficulties in implementation of neural network modeling processes the production program of provisions of technocenological paradigm. Research perspective presents an opportunity to contribute to scientific field under consideration, and substantial program research and suggestions will form the basis for other researchers in formation and promotion of new ideas in study of patterns the functioning and development of complex systems in economy, technology and society.