DЕTERMINATION OF THE DRUM MILLS’ ENGINE CAPACITY BY USING NEURAL NETWORK WITH SUBORDINATE INPUT PARAMETERS

Abstract

A successful experiment has been done to train the neural network to determine the drum mills’ engine capacity by using the program „QwikNet 2.23”. As a result we get a trained neural network with a maximum error of 1.00619.10-5 which can be used for assessing the capacity of the electric motors of drum mills and can be considered an accurate mathematical model

Keywords

• neural network
• drum mill’s engine
• subordinate input parameters