نتایج جستجو برای: neural modeling

تعداد نتایج: 676327  

ژورنال: مهندسی دریا 2013

Wind waves are one of the important, fundamental and interesting subjects in port and coastal engineering. Thus, within years, different methods such as experimental methods, numerical modeling and soft computing methods have been employed to estimate the wave parameters. In this study, waves height in Anzali port is predicted using soft computing models such as multivariate adaptive regressi...

1999
R. E. Shaffer S. L. Rose-Pehrsson J. R. McDonald Sean J. Hart Ronald E. Shaffer Susan L. Rose-Pehrsson Jim R. McDonald

In this work, an artificial neural network (ANN) model along with a combination of adaptive neuro-fuzzy inference system (ANFIS) and particle swarm optimization (PSO) i.e. (PSO-ANFIS) are proposed for modeling and prediction of the propylene/propane adsorption under various conditions. Using these computational intelligence (CI) approaches, the input parameters such as adsorbent shape (S<su...

ژورنال: انرژی ایران 2020

In recent years, the use of modeling methods that directly utilize empirical data is increasing due to the high accuracy in predicting the results of the process, rather than statistical methods. In this paper, the ability of Artificial Neural Network (ANN) and Adaptive Fuzzy-Neural Inference System (ANFIS) models in the prediction of the thermal performance of Al2O3 nanofluid that is measured ...

Journal: :اکو هیدرولوژی 0
محمد جواد زینلی دانشجوی دکتری منابع آب، گروه علوم و مهندسی آب، دانشگاه بیرجند سید رضا هاشمی استادیار گروه علوم و مهندسی آب، دانشگاه بیرجند

accurate prediction of river flow is one of the most important factors in surface water recourses management especially during floods and drought periods. in fact deriving a proper method for flow forecasting is an important challenge in water resources management and engineering. although, during recent decades, some black box models based on artificial neural networks (ann), have been develop...

ژورنال: سلامت و محیط زیست 2018

Background and Objective: Chromium is present in two oxidation forms of Cr(III) and Cr(VI). Cr(III) is less toxic than Cr(VI). The aim of this article was to optimize an artificial neural network structure in modeling the photocatalytic reduction of Cr(VI) by TiO2-P25 nanoparticles. Materials and Methods: In this work, an artificial neural network (ANN) for the modeling photocatalytic reductio...

Journal: :ACM Transactions on Graphics 2016

Journal: :Frontiers in Neuroinformatics 2009

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