Use of self-organizing neural network in modern manufacturing systems

The paper presents the use of nonparametric non-linear model in modern manufacturing processes. Our problem was solved by the use of self-organizing neural network by the method of elastic tape representing the discrete optimization problem. An up-to-data modular programme with graphic environment was used to build the neural network. The user interface ensures entering and changing of different parameters during the learning and testing of the artificial neural network. Desired results were reached only by correct selection of the neural network parameters. The results show that the proposed model successfully solves a certain optimization problem and it can be incorporated into the intelligent manufacturing system so that it functions autonomously in the environment with slight interference of the human into the system.