Periodica Polytechnica: Chemical Engineering

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Investigation of controllability of systems with recycle – a case-study
Periodica Polytechnica: Chemical Engineering - Tập 51 Số 2 - Trang 37 - 2007
Marcell Horváth, Z. Szitkai, Péter Mizsey
Thermal Conductivity Modeling of Aqueous CuO Nanofluids by Adaptive Neuro-Fuzzy Inference System (ANFIS) Using Experimental Data
Periodica Polytechnica: Chemical Engineering - Tập 62 Số 2 - Trang 202-208
Mohammad Hemmat Esfe
In this article, thermal conductivity data of aqueous nanofluids of CuO have been modeled through one of the instruments of empirical data modeling. The input data of 5 different volume fractions of nanofluid obtained in four temperatures through experiments have been considered as network inputs. Also, triangular function, due to providing the best responses, has been used as membership function in ANFIS structure. The modeling results show that fuzzy networks are able to model thermal conductivity results of nanofluids with good precision. Regression coefficient of this modeling has been 0.99.
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