| Autor: |
Ashtari Larki, Saeed, Banashooshtari, Hooman |
| Předmět: |
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| Zdroj: |
Petroleum Science & Technology; 2017, Vol. 35 Issue 23, p2221-2228, 8p |
| Abstrakt: |
In the present study a new model named adaptive neuron fuzzy inference system optimized by hybrid method (Hybrid-ANFIS) is developed for estimation of viscosity of mixed oils. The experimental data for development of the new model were gathered from literature. Various methods were taken into consideration to examine the accuracy and precision of the model. The outcomes of the developed model were also put into comparison with four well-known literature models. Results show that the Hybrid-ANFIS model provides acceptable and precise estimations and more satisfactory predictions in comparison with literature models. The model exhibits an overall AARD% value of 2.19%. [ABSTRACT FROM PUBLISHER] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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