Innovative management neural network modelling based on logistic theory

Abstract

Logistical approach assumes the scheme of the variety of flows, including financial resources, material values and information with all of them being united in a specific flow of logistical resources. The paper covers the concept that the stages of the study are likely to form the research area being described as the net of the characteristics of the social and economic system subject to researcher consideration. The neural network considers attitudes of modern scientific thought on obtaining objectively true knowledge about the surrounding reality on the basis of the theory of logistic studies of unique innovative management developing systems. The different principles of training neural networks enable to independently determine the degree of influence of certain factors on the result of operations. Continuous innovative development of production processes, ongoing automation processes in all areas of industrial enterprises and other related changes in the knowledge economy increase the role of information and its processing in providing competitive advantages.