Yagkhi K. The automatic control system of operation of complex recycling technical systems.

The dissertation is devoted to the information base for development of complex recycling technical systems (CRTS) operation management. The architecture and learning algorithm for neural supernetwork of development forecasting of CRTS community life cycle is developed. The automatic management of operation system for vehicles on a neuromodel of damages forecasting basis is developed. The methods, algorithms and programs for increase representation of the initial information on CRTS ability to live are developed by reduction of dimension spacefactor with the purpose of allocation of the superior technical-organizational factors of development of such systems and transformation them in an adequate samples for learning neural supernetwork. The methods, algorithms and programs for definition of CRTS belonging after regeneration to the appropriate resource iteration of life cycle are developed