APPLICATION OF ARTIFICIAL NEURAL NETWORK IN THE PROCESS OF SELECTION OF ORGANIC COATINGS
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Published:
Dec 15, 2019
Issue Vol. 9 No. 4 (2019)
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CONCEPT OF A SELF-LEARNING WORKPLACE CELL FOR WORKER ASSISTANCE WHILE COLLABORATION WITH A ROBOT WITHIN THE SELF-ADAPTING-PRODUCTION-PLANNING-SYSTEM
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APPLICATION OF THE LENNARD-JONES POTENTIAL IN MODELLING ROBOT MOTION
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APPLICATION OF ARTIFICIAL NEURAL NETWORK IN THE PROCESS OF SELECTION OF ORGANIC COATINGS
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Abstract
The structure of the artificial neural network (ANN) to support the selection of organic coatings was developed and verified, and its learning process was carried out. A simulation of the operation of the network was also carried out, which showed that programming of the coating system selection process can be much faster and more accurate, which is important for a system used in industrial conditions.
Keywords:
artificial neural network, organic coatings
Article Details
Popko, A., & Gauda, K. (2019). APPLICATION OF ARTIFICIAL NEURAL NETWORK IN THE PROCESS OF SELECTION OF ORGANIC COATINGS. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 9(4), 18–21. https://doi.org/10.35784/iapgos.63
