چکیده مقاله
ANFIS and GMDH type Neural Networks NN employing the Pareto design were used to predict ternary systems water,phosphoric acid, Isoamyl acetate LLE data, for which the experimental LLE data and application of some thermodynamic models such as UNIQUAC were reported previously by some of the authors Experimental data were divided to two set: Training and Testing sets To measure the goodness of present model, four statistical parameters were introduced as objective functions and multi objective evolutionary optimization algorithm was employed The performance and reliability of this type of networks was successfully approved for considered systems based on the obtained results and good agreements were found between experimental and predicated data
کلیدواژهها
نویسندگان
a Daghbandan
Assistant Professor, Department of chemical engineering, Faculty of Engineering, University of Guilan
h Ghanadzadeh
Professor, Department of chemical engineering, Faculty of Engineering, University of Guilan
m Akbari Zadeh
Phd Student, Department of chemical engineering, Faculty of Engineering, University of Guilan
شیوه ارجاع
Daghbandan, a and Ghanadzadeh, h and Akbari Zadeh, m,1396,Applying of ANFIS and GMDH network for modeling of Ternary Mixtures LLE (water, phosphoric acid, Isoamyl acetate),2rd International Conference on Soft Computing,Rudsar
ارائهشده در
مجموعه مقالات دومین کنفرانس ملی محاسبات نرم1 آذر 1396 · رودسر