نتایج جستجو برای: ann modeling
تعداد نتایج: 412808 فیلتر نتایج به سال:
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...
In this paper, empirical modeling of surface roughness in CO2 laser cutting of mild steel using the multiple regression analysis (MRA) and artificial neural network (ANN) was presented. To cover wider range of laser cutting parameters such as cutting speed, laser power and assist gas pressure as well as to obtain experimental database for MRA and ANN model development, Taguchi’s L25 orthogonal ...
ارائه یک مدل شبکه عصبی مصنوعی برای تخمین نفوذ آب در خاک بر اساس پارامترهای مدلهای SCS و کوستیاکوف
Infiltration of water into the soil accounts as a phenomenon in which most of researchers and scientists are interested so it acts a prominent role in the water cycling. Owing to temporal and spatial variation of infiltration, measuring of it in a direct way requires a long time and high cost. Thus, using a method for measuring the soil infiltration in an indirect way instead of direct way for ...
This study was conducted to investigate the prediction of growth performance using linear regression and artificial neural network (ANN) in broiler chicken. Artificial neural networks (ANNs) are powerful tools for modeling systems in a wide range of applications. The ANN model with a back propagation algorithm successfully learned the relationship between the inputs of metabolizable energy (kca...
In recent years, soft computing and artificial intelligence techniques such as artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) have been effectively used in various civil engineering applications. This study aims to examine the potential of ANN and ANFIS for modeling the compressive strength of concrete containing expanded perlite powder (EPP). For doing this, ...
Paper this presents the Matlab /Simulink model of PV module and maximum system tracking point power (MPPT). Maximum Power Point Tracking (MPPT) is something method for track (track) a source energy to produce . one _ MPPT that can applied photovoltaic fractional open voltage Common problems happen using not suit Among load generated This thing occur due sourced strongly influenced by conditions...
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 ...
In this paper, a new approach of modeling for Artificial Neural Networks (ANNs) models based on the concepts of fuzzy regression is proposed. For this purpose, we reformulated ANN model as a fuzzy nonlinear regression model while it has advantages of both fuzzy regression and ANN models. Hence, it can be applied to uncertain, ambiguous, or complex environments due to its flexibility for forecas...
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