A Study Of Novel Logistic Theory-Based Neural Network Simulation For Management

Abstract

According to a logistical approach, there are numerous flows, including those of information, physical commodities, and economic capacity, which are all merged into a single flow of logistical assets. The research area, which is described as the net of the economic and social system components under inspection by the researcher, is likely to be created by the study stages, which are discussed in the paper. The neural network bases its assumptions on the notion of logistic studies of distinctive creative management emerging systems and considers attitudes of modern scientific knowledge on obtaining precisely accurate information about the real world. The various neural network learning principles allow for the independent assessment of the level of a given factor's influence on an operation's outcome. The function of data and its treatment in generating competitive advantages is becoming more and more
important as a result of ongoing process automation in all facets of industrial organizations and other changes that lead to the knowledge - based economy.