Investigation of Corporate Networks with Moving Objects Using Combined Neural Networks

The development of algorithms for the neural network approach and the use of monitoring and management of corporate communication networks is considered as the creation and management of new types of services in networks, which is an urgent task for modern corporations. This, in turn, also influenced the elements of the modern world, which are in constant motion or do not have constant locations. To achieve that goal, it is necessary to create algorithms for actions to improve the efficiency of building and automating the processes of creating and improving mobile corporate networks. An important task is to provide examples of corporate networks with the presented domains, taking into account their fragments. Depending on the type of fragment and its purpose, their differences are shown. The proposed method makes it possible to increase the efficiency of optimization as a procedure for choosing the optimal technological conditions for the functioning of a corporate network, indicating the high quality of all its components.