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

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

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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...

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Bibliographic Details
Main Authors: Teodora HRISTOVA, Ivan MININ
Format: Article
Language:English
Published: Academica Brancusi 2012-05-01
Series:Fiabilitate şi Durabilitate
Subjects:
neural network
drum mill’s engine
subordinate input parameters
Online Access:http://www.utgjiu.ro/rev_mec/mecanica/pdf/2012-01.Supliment/65_Teodora%20Hristova,%20Ivan%20minin.pdf
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Summary: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
ISSN:1844-640X

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