Predicting semiclathrate hydrates dissociation pressure using a rigorous machine learning approach
| Autor: | Abolfazl Mohammadi, Ebrahim Soroush, Aminreza Hosseinzadeh |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Polymers and Plastics
Artificial neural network Computer science business.industry Clathrate hydrate Pattern recognition 02 engineering and technology 021001 nanoscience & nanotechnology Perceptron Dissociation (chemistry) Surfaces Coatings and Films 020401 chemical engineering Artificial intelligence 0204 chemical engineering Physical and Theoretical Chemistry 0210 nano-technology business Supervised training |
| Zdroj: | Journal of Dispersion Science and Technology. 41:863-872 |
| ISSN: | 1532-2351 0193-2691 |
| DOI: | 10.1080/01932691.2019.1614028 |
| Popis: | In this study, a supervised learning algorithm known as multi-layer perceptron neural network (MLP-NN) is employed to predict the dissociation pressure of semiclathrate hydrates of CO2+N2, CH4+N2, ... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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