Neuronet logic and genetic optimization methods interdepartmental process routes in automated systems production planning

Abstract

 In this study for the development of an automated system of technological preparation of manufacture (CAM) based on the use of artificial intelligence techniques developed a method for optimizing the design of interdepartmental process flows. The work and solved the following problems: modified functional model of the automated system of technological preparation of production, based on the use of neural networks and Kohonen LVQ clustering method developed by GTE parts for the development of interdepartmental process flows, by using permutation graphs and artificial neural network Hopfield neural network Nova substantiation method optimization rastsehovok CAM products; through the application of these methods developed software package «GSGgrouping.