Modeling of the Technological Process for Metal Production using a Probability Finite Automatic Machine

Abstract

To date, the popularity of areas such as system management and the development of automated control systems using finite state machines has grown significantly, while the degree of mutual integration of these areas is quite high. So, in each of them the creation of decision-making systems and software systems of intellectual support is required. And the most frequently used tool for this in modern research and scientific projects is state machines - finite discrete or probabilistic automata, although they often do not allow the creation of decision-making systems quite efficient without large labor costs. The subject of this study is to create a probabilistic finite state machine capable of accurately predicting the properties of alloys, and thereby provide intelligent decision support in the process of manufacturing metal products