An Imperialist Competitive Algorithm Artificial Neural Network Method to Predict Hydrate Formation Temperature
- سال انتشار: 1392
- محل انتشار: اولین همایش ملی فناوری های نوین در شیمی و مهندسی شیمی
- کد COI اختصاصی: NCNC01_583
- زبان مقاله: انگلیسی
- تعداد مشاهده: 1407
نویسندگان
Department of Gas Engineering, Petroleum University of Technology, Ahwaz, Iran
Department of Gas Engineering, Petroleum University of Technology, Ahwaz, Iran
Department of Gas Engineering, Petroleum University of Technology, Ahwaz, Iran
National Iranian South Oil Company, Iran
چکیده
Formation of gas hydrates is one of the problems in the production, processing, and transportation of natural gas. Therefore, an understanding of conditions where hydrates form is necessary to overcome hydrate related issues. Although several studies have been performed on prediction of hydrate forming conditions for various gas mixtures, but the developed correlations are not accurate enough and some of these correlations are presented mainly in graphical form, thus making it difficult to use them within general computer packages for simulation and design. In this paper, we adopt imperialist competitive algorithm (ICA) that is a new socio-politically motivated global search strategy and has recently been introduced for dealing with different optimization tasks to optimize the weight of multilayer perceptron (MLP) artificial neural network for prediction of hydrate formation temperature (HFT). ICA is used to decide the initial weights of the neural network. The ICA-ANN is applied to predict hydrate formation temperature by 302 experimental data points that have been collected from literature. The performance of the ICA-ANN is compared with ANN and the results demonstrate the effectiveness of the ICA-ANN.کلیدواژه ها
Imperialist Competitive Algorithm (ICA), Artificial Neural Network, Multilayer Perceptron (MLP), hydrate temperature and Predictionمقالات مرتبط جدید
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