Design of Artificial Neural Network for Prediction of Hydrogen Sulfide and Carbon Dioxide Concentrations in a Natural Gas Sweetening Plant
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چکیده
منابع مشابه
Solubility Prediction of Drugs in Supercritical Carbon Dioxide Using Artificial Neural Network
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The descriptors computed by HyperChem® software were employed to represent the solubility of 40 drug molecules in supercritical carbon dioxide using an artificial neural network with the architecture of 15-4-1. The accuracy of the proposed method was evaluated by computing average of absolute error (AE) of calculated and experimental logarithm of solubilities. The AE (±SD) of data sets was 0.4 ...
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ژورنال
عنوان ژورنال: Ecological Engineering & Environmental Technology
سال: 2023
ISSN: ['2719-7050']
DOI: https://doi.org/10.12912/27197050/157092