Results 21 to 30 of about 745,492 (198)
Development of a Hybrid ANN-evolutionary Algorithms Models to Predict the Froude Number in Open Channel Flows in Modeling of Sediment Transport [PDF]
محیط زیست و مهندسی آب, 2021 The authors unanimously wish to retract this paper because of several incorrect statements and erroneous presentation and copyrights issues of primary data.
Naser Arya azar +2 more
doaj +1 more source
Aquifer hydraulic conductivity prediction via coupling model of MCMC-ANN
Journal of Groundwater Science and Engineering, 2021 Grain-size distribution data, as a substitute for measuring hydraulic conductivity (K), has often been used to get K value indirectly. With grain-size distribution data of 150 sets of samples being input data, this study combined the Artificial Neural ...
Chun-lei GUI +3 more
doaj +1 more source
Artificial neural network prediction of quantitative structure: Retention relationships of polycyclic aromatic hydocarbons in gas chromatography [PDF]
Journal of the Serbian Chemical Society, 2005 A feed-forward artificial neural network (ANN) model was used to link molecular structures (boiling points, connectivity indices and molecular weights) and retention indices of polycyclic aromatic hydrocarbons (PAHs) in linear temperature- programmed gas
Sremac Snežana +2 more
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Journal of Natural Fibers, 2022 The building sector is one of the most dynamic in terms of energy consumption, consuming about 40% of the world’s energy. This same sector is also responsible for about 1/3 of the world’s greenhouse gas emissions.
Aziz Saaidia +2 more
doaj +1 more source
Compressive Strength Prediction Using the ANN Method for FRP Confined Rectangular Concrete Columns [PDF]
Journal of Rehabilitation in Civil Engineering, 2019 Fiber Reinforced Polymer (FRP) was extensively employed as external confinement to strengthen the RC structures. Substantial studies were carried out in order to assess a more exact formula for measuring the strength enhancement of such strengthens ...
Yasser Sharifi +2 more
doaj +1 more source
PSO-ANFIS and ANN Modeling of Propane/Propylene Separation using Cu-BTC Adsorbent
Journal of Chemical and Petroleum Engineering, 2019 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.
Sohrab Fathi +3 more
doaj +1 more source
Applied Sciences, 2020 Ground vibration induced by blasting operations is an important undesirable effect in surface mines and has significant environmental impacts on surrounding areas.
Guichen Li +5 more
doaj +1 more source
Soft computing techniques for analysing the mechanical properties of egg shell powder-based concrete
Advances in Civil and Architectural EngineeringThe construction industry is increasingly focused on sustainability to reduce environmental impact. Researchers are actively exploring alternative materials to replace clinker-based binders. This study specifically investigates the use of eggshell powder
Sanjay Sharma +3 more
doaj +1 more source
پیشبینی ضریب پخش رطوبت موثر و انرژی مصرفی ویژه بادمجان در خشککن پیوسته با استفاده از روشهای جدید [PDF]
مجله پژوهشهای علوم و صنایع غذایی ایران, 2018 در این پژوهش، بهمنظور برآورد خواص خشککردن بادمجان در یک خشککن پیوسته از روش شبکههای عصبی مصنوعی (ANN)، الگوریتم بهینهسازی توده ذرات (PSO) و الگوریتم گرگ خاکستری (GWO) استفاده شد.
محمد کاوه +3 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.Abstract Background Sickle cell disease (SCD) is an autosomal recessive hemoglobinopathy affecting millions of individuals worldwide. The clinical expression and psychosocial burden of SCD vary widely across geographical, cultural, and healthcare system contexts, underscoring the need for setting‐specific approaches to assessment.
Desiré Fantasia +7 more
wiley +1 more source