IMPLEMENTATION OF STRATEGIC IMPERATIVES FOR STRENGTHENING THE ECONOMIC SECURITY OF TEXTILE ENTERPRISES THROUGH INTRODUCTION OF AGILE MANAGEMENT SYSTEM.

The article proposes a model of a probabilistic neural network in order to ensure a sufficient level of economic security through the introduction of agile enterprise management system. It is built on the basis of statistical classifiers highlighting the degree of threats to economic security of enterprise. An input matrix for a probabilistic neural network was developed and a target matrix of classes (states) was formed. A probabilistic neural network was built in the environment using the built-in Matlab-function «newpnn», based on the proposed matrices. A list of management decisions that is a response to determined degree of threat was identified for each degree of threat to economic security. Detailing of management decisions in terms of individual components allows managers to understand the response to the current threat from the standpoint of effective management. Also, availability of alternatives expands opportunities for managers to improve existing management system in various directions. Implementation of management decisions using a neural network can reduce the degree of threats to economic security of enterprise. The article forms a target matrix of lists of actions of company's management and a crucial probabilistic neural network is built in Matlab environment. The implementation of the proposed approach is tested on the example of a particular enterprise, which indicates its suitability for practical use and solution of applied practical problems. Accordingly, the proposals developed in the study on the use of neural network allow a management of enterprise to respond quickly to current threats and risks. [ABSTRACT FROM AUTHOR]