نتایج جستجو برای: neural network models
تعداد نتایج: 1636460 فیلتر نتایج به سال:
In this study is predicted the groundwater level of Sharif Abad catchment using some artificial intelligence models. For this purpose used of monthly groundwater levels for modeling in the three observed wells located in the Sharif Abad watershed of Qom. To compare the results of the hybrid model of wavelet analysis-neural network (WNN), genetic programming (GP) multiple linear regression (MLR)...
چکیده در این پژوهش بااستفاده از تفکر سیستمهای پویا به مدل سازی ریاضی سیستم زنجیره تأمین ارتباط ثابت در شرکت مخابرات ایران پرداخته ایم و بدین منظور از اطلاعات موجود و مستند شرکت مخابرات ایران از سال 1384 تا 1391 و نتایج شبیهسازی مدل پویاییهای سیستم تا سال 1404 استفاده کرده ایم. برای تجزیه و تحلیل و تعیین ماهیت سیستم، از مفهوم مدل سازی ریاضی سیستمهای پویا استفاده کردیم. نتایج مدل سازی نش...
this paper presents a new model for predicting the compressive strength of steel-confined concrete on circular concrete filled steel tube (ccfst) stub columns under axial loading condition based on artificial neural networks (anns) by using a large wide of experimental investigations. the input parameters were selected based on past studies such as outer diameter of column, compressive strength...
in the current research the artificial neural network models were used for predicting mass transfer kinetics of osmotically dehydrated kiwifruit. osmotic dehydration operations were performed in sucrose solution with concentrations of 30, 40, 50 and 60% at temperatures of 20, 40 and 60°c for 30, 60, 90 and 120 minutes. multi-layer neural network with 3 inputs (operating conditions) was develope...
the jamor purpose of the present research is to predict the total stock market index of tehran stock exchange, using a combined method of wavelet transforms, fuzzy genetics, and neural network in order to predict the active participations of finance market as well as macro decision makers.to do so, first the prediction was made by neural network, then a series of price index was decomposed by w...
Heart is one of the most important members of the body, and heart disease is the major cause of death in the world and Iran. This is why the early/on time diagnosis is one of the significant basics for preventing and reducing deaths of this disease. So far, many studies have been done on heart disease with the aim of prediction, diagnosis, and treatment. However, most of them have been mostly f...
Soil organic carbon (SOC) content plays a key role in soil biological, chemical and physical behavior and knowledge about its state and distribution is essential for the effective and sustainable use of soil. Laboratory measurements of SOC are costly and time consuming and have not the possibility to extend the results to similar areas. Recently, the use of remote sensing data for evaluation of...
1- INTRODUCTION According to the complexity of environmental factors related to erosion and runoff, correct simulation of these variables find importance under rain intensity domain of watershed areas. Although modeling of erosion and runoff by Artificial Neural Network and Neuro-Fuzzy based on rainfall-runoff and discharge-sediment models were widely applied by researchers, scrutinizing Arti...
ABSTRACT: In this study, adaptive neuro-fuzzy inference system, and feed forward neural network as two artificial intelligence-based models along with conventional multiple linear regression model were used to predict the multi-station modelling of dissolve oxygen concentration at the downstream of Mathura City in India. The data used are dissolved oxygen, pH, biological oxygen demand and water...
Lightweight concrete (LWC) is a kind of concrete that made of lightweight aggregates or gas bubbles. These aggregates could be natural or artificial, and expanded polystyrene (EPS) lightweight concrete is the most interesting lightweight concrete and has good mechanical properties. Bulk density of this kind of concrete is between 300-2000 kg/m3. In this paper flexural strength of EPS is modeled...
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