مشخصات پژوهش

عنوان	Prediction of thermal conductivity of aqueous solution at high pressures by using artificial neural network
نوع پژوهش	مقاله چاپ شده
کلیدواژه‌ها	neural network, aqueous solution, thermal conductivit
چکیده	The objective of this study is to predict thermal conductivity of aqueous solution with artificial neural network (ANN) model with three inputs (pressure, temperature and concentration). A feed forward artificial neural network with three neurons in its hidden layer is recommended to predict thermal conductivity. The accuracy of this method evaluated by regression analysis between the predicted and experimental value shows desired results
پژوهشگران	علی اکبر عموئی (نفر اول)، فرشاد رضازاده (نفر سوم)، مریم آهنگریان (نفر دوم)