In this paper we analyzed the possible application of an intelligent system as a solver in the of the information system functioning control. One of the tasks of information systems control is to ensure that requests for information services are sent to servers with certain quality of service indicators.
There are many methods that can be used in information systems control systems to form a distribution plan, which determines the priority of choosing the directions for each particular class of requests. However, the situation develops that the use of any one method is not enough due to the fact that the system can be in different conditions, including perturbation conditions. Therefore adaptive control in the information system is very important. It consists in promptly changing the control plan. The decision to apply a particular procedure of control of parameters that characterize the functioning of the information system is a complex task and it is clear that this task should be solved without an operator. It is proposed to use an intelligent system to make an operational choice of management procedures for various states of the system. In this capacity, an artificial neural network can act. Numerous studies in this area show that artificial neural networks are good in decision support systems and in automation systems. The introduction of artificial neural networks requires global automation of processes used in complex technical systems. Intellectual systems have the ability to learn by examples, so they are used in solving problems in which solution algorithms are unknown. In this article, we will consider the algorithms and methods of artificial neural networks with respect to their applicability for implementing the function of selecting a procedure of control the parameters that characterize the functioning of the information system.
Keywords: information system; artificial neural network; intellectual system; distribution of applications; automated control system.