نتایج جستجو برای: artificial neural network and genetic programming

تعداد نتایج: 17059087  

Journal: :journal of advances in environmental health research 0
yahya zandsalimi environmental health research center, kurdistan university of medical sciences, sanandaj, iran anoushiravan mohseni-bandpei department of environmental health, faculty of health, shahid beheshti university of medical sciences, tehran, iran hiua daraei environmental health research center, kurdistan university of medical sciences, sanandaj, iran loghman alaei institute of biochemistry and biophysics, university of tehran, tehran, iran sang w. joo school of mechanical engineering, yeungnam university, gyeongsan 712-749, republic of korea

. the sonocatalytic activity of nano-sized zno powder was studied via the degradation of the direct blue 71 azo dye. the nano-sized zno powder that was selected was the same as that which was synthesized and characterized in our previous study. the influences of six operational parameters including the initial ph, the initial concentration, the dose of sonocatalyst, the ultrasound frequency, th...

Journal: :international journal of smart electrical engineering 2014
a. r moradi y alinejad beromi k kiani z moravej

protection systems have vital role in network reliability in short circuit mode and proper operating for relays. current transformer often in transient and saturation under short circuit mode causes mal-operation of relays which will have undesirable effects. therefore, proper and quick identification of current transformer saturation is so important. in this paper, an artificial neural network...

Journal: :سنجش از دور و gis ایران 0
علی اکبر متکان دانشگاه شهید بهشتی علیرضا شکیبا دانشگاه شهید بهشتی امین حسینی اصل دانشگاه شهید بهشتی فردین رحیمی دهگلان دانشگاه شهید بهشتی

runoff is one of the major components of calculating water resource processes and is the main issue in hydrology. many concept models are used to predict the amount of runoff, which in most cases depend on topographical and hydrological data. conventional models are not appropriate for areas in which there is little hydrological data. changes in runoff are nonlinear, meaning it is time & space ...

Journal: :journal of artificial intelligence in electrical engineering 0

the main objective of this paper is to introduce a new intelligent optimization technique that uses a predictioncorrectionstrategy supported by a recurrent neural network for finding a near optimal solution of a givenobjective function. recently there have been attempts for using artificial neural networks (anns) in optimizationproblems and some types of anns such as hopfield network and boltzm...

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 the present research, the climate change effect on variation of surface runoff of Zarrinehrud located in the Miandoab plain was investigated. In this direction, the scenarios including A1B, A2 and B1 via LARS-WG downscaling model and with applying the HadCM3 general circulation model and artificial neural network model in two different periods (2046-2065, 2080 -2099) were studied. For thi...

Journal: :journal of rangeland science 2013
moslem hadidi ali ariapour marzban faramarzi

the major aim of processing satellite images is to prepare topical and effectivemaps. the selection of appropriate classification methods plays an important role. amongvarious methods existing for image classification, artificial neural network method is ofhigh accuracy. in present study, tm images of 1987, and etm+ images of 2000 and 2006were analyzed using artificial fuzzy artmap neural netwo...

Introduction: Logistic regression is one of the modeling methods for bipartite dependent variables. On the other hand, artificial neural network is a flexible method with the least limitation. The importance of growing unnecessary beauty surgeries and the importance of prediction and classification made us consider the present study, with the aim of comparing logistic regression and artificial ...

Journal: :journal of rangeland science 2011
a. ariapour m. nassaji zavareh

evaporation is one of the most important components of hydrologic cycle.accurate estimation of this parameter is used for studies such as water balance,irrigation system design, and water resource management. in order to estimate theevaporation, direct measurement methods or physical and empirical models can beused. using direct methods require installing meteorological stations andinstruments ...

Suspended particles have deleterious effects on human health and one of the reasons why Tehran is effected is its geographically location of air pollution. One of the most important ways to reduce air pollution is to predict the concentration of pollutants. This paper proposed a hybrid method to predict the air pollution in Tehran based on particulate matter less than 10 microns (PM10), and the...

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