Application of the artificial neural networks for identification of polymers on the basis of their flammability

Abstract

The work presents the structure and principle of operation of the artificial neuron network constructed for identification of a polymer on the basis of its flammability. The characteristic properties of burning of a polymer are saved in a special form in a database. The network creates a binary standard for each polymer from the database, coding data by means of the signals of the values 1, 0, -1. The network memorizes data related to each polymer detecting the similarities and differences between them and determines the weights which reflect the importance of particular features of its burning process.