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Ene, A
IOP conference series. Materials Science and Engineering, 10/2019, Letnik: 564, Številka: 1Journal Article
A working place has to be designed in order to offer with minimum cost adequate working conditions. The labor yield is much influenced by environmental measurable parameters like temperature, humidity, noise and the luminosity at the working place. In this paper we present a graphical application that could be used to investigate which is the best combination for the values of these input parameters from the point of view of work efficiency. The relationship between the input parameters and the work efficiency is nonlinear. Therefore, we used a neural network to model these nonlinearities. The neural network is simulated using Java programming language.
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Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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in: SICRIS
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