این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
Nanomedicine Journal، جلد ۵، شماره ۴، صفحات ۲۱۷-۲۲۱
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Applying GMDH artificial neural network to predict dynamic viscosity of an antimicrobial nanofluid
چکیده انگلیسی مقاله Objective (s): Artificial Neural Networks (ANN) are widely used for predicting systems' behavior. GMDH is a type of ANNs which has remarkable ability in pattern recognition. The aim the current study is proposing a model to predict dynamic viscosity of silver/water nanofluid which can be used as antimicrobial fluid in several medical purposes.Materials and Methods: In order to have precise model, it is necessary to consider all influential factors. Temperature, concentration and size of nano particles are used as input variables of the model. In addition, GMDH artificial neural network is applied to design a proper model. Data for modeling are extracted from conducted experimental studies published in valuable journals. Results: The dynamic viscosity of Ag/water nanofluid is precisely modeled by using GMDH. The obtained values for R-squared is equal to 0.9996 which indicates perfect precision of the proposed model. In addition, the highest relative deviation for the model is 2.2%. Based on the values of these statistical criteria, the model is acceptable and very accurate. Conclusion: GMDH artificial neural network is reliable approach to predict dynamic viscosity of Ag/water nanofluid by using temperature, concentration and size of particles as input data.
کلیدواژه‌های انگلیسی مقاله Dynamic viscosity, Irrigant, Medical, Nanofluid
نویسندگان مقاله | Fatemeh Mohamadian
Post graduate student of pediatric Dentistry, Department of pediatric dentistry, Faculty of dentistry, Shahid Beheshti University of medical sciences, Tehran, Iran


| Leila Eftekhar
Post graduate student of pediatric Dentistry, Department of pediatric dentistry, Faculty of dentistry, Shahid Beheshti University of medical sciences, Tehran, Iran


| Yashar Haghighi Bardineh
Department of Biomedical Engineering, Tehran Medical Branch, Islamic Azad University, Terhan, Iran
نشانی اینترنتی http://nmj.mums.ac.ir/article_11600.html
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/295/article-295-900951.pdf
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده مقاله پژوهشی
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات