Evolving robust intelligent model based on group method of data handling technique optimized by genetic algorithm to predict asphaltene precipitation
Author:
Publisher
Elsevier BV
Subject
Geotechnical Engineering and Engineering Geology,Fuel Technology
Reference60 articles.
1. Using intelligent optimization methods to improve the group method of data handling in time series prediction;Abbod,2008
2. Application of adaptive neuro-fuzzy inference system for the prediction of the yield distribution of the main products in the steam cracking of atmospheric gasoil;Abghari;Journal of the Taiwan Institute of Chemical Engineers,2013
3. Neural network based swarm concept for prediction asphaltene precipitation due to natural depletion;Ahmadi;J. Petrol. Sci. Eng.,2012
4. Estimation of asphaltene precipitation in light, medium and heavy oils: experimental study and neural network modeling;Alimohammadi;Neural Comput. Appl.,2017
5. Modeling of multiple short-length-scale stall cells in an axial compressor using evolved GMDH neural networks;Amanifard;Energy Convers. Manag.,2008
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