Possibilities of using a neural network when processing parts in mechanical engineering

The possibilities of using a neural network in mechanical engineering when processing parts on metalcutting machines are considered. A model is presented, consisting of an associative logical-memory environment (neural network) associated with two input channels and one information output channel. Information recorded in memory can be obtained using any of its fragments used as search ones. By setting different contexts, it is possible to more precisely specify the digital information that needs to be obtained when processing machine parts