A multi-layer perceptron neural network model for predicting the hydrate equilibrium conditions in multi-component hydrocarbon systems-Reference-Cited by-同舟云学术

A multi-layer perceptron neural network model for predicting the hydrate equilibrium conditions in multi-component hydrocarbon systems

Published:2022-04-29 Issue:18 Volume:34 Page:15863-15887
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Nasir Qazi^ORCID,Suleman Humbul,Ud Din Israf,Elfadol Yasir Elsheikh

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-022-07284-4.pdf

Reference223 articles.

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2. Mooijer-Van den Heuvel MM (2004) Phase behaviour and structural aspects of ternary clathrate hydrate systems. The Role of Additives.Appl Sci, TU Delft

3. Xiao C, Adidharma H (2009) Dual function inhibitors for methane hydrate. Chem Eng Sci 64:1522–1527

4. Koh CA, Sloan ED, Sum AK, Wu DT (2011) Fundamentals and applications of gas hydrates. Ann Rev Chem Biomolecular Eng 2:237–257

5. Sloan ED, Koh CA (2007) Clathrate hydrates of natural gases, 3rd ed., CRC Press Taylor & Francis Group

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