Prediction of polypropylene business strategy for a petrochemical plant using a technique for order preference by similarity to an ideal solution‐based artificial neural network

The quality of polypropylene is one of the major components in the plastic industry. The quality of the polypropylene depends upon the melt flow index and the xylene solubility under the given condition such as hydrogen flow, donor flow, pressure, temperature, etc. This study investigates the use of...

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Vydáno v:	Polymer engineering and science Ročník 62; číslo 4; s. 1096 - 1113
Hlavní autoři:	Singh, Akash, Majumder, Pinki, Bera, Uttam Kumar
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Hoboken, USA John Wiley & Sons, Inc 01.04.2022 Society of Plastics Engineers, Inc Blackwell Publishing Ltd
Témata:	Algorithms artificial neural network Artificial neural networks Back propagation networks Chemical industry Melt flow index Methods multicriteria decision‐making Multiple criteria decision making Neural networks Polypropylene Production processes Quality management Similarity Solubility Topology TOPSIS Transfer functions Xylene India
ISSN:	0032-3888, 1548-2634
On-line přístup:	Získat plný text
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