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Toplam kayıt 12, listelenen: 1-10
Prediction of sodium absorption ratio (SAR) in groundwater with the aid of artificial neural networks: The east aquifer of ergene basin
(TMMOB - Jeoloji Muhendisleri Odasi, 2016)
Groundwater is used for drinking and irrigation purposes in many parts of the world. Irrigation practices result in the deterioration of the quality of the groundwater over the time and this adversely affects the human ...
Yapay Sinir Ağları Yardımı ile Yeraltı Suyunda Sodyum Absorbsiyon Oranı (SAR) Tahmini: Ergene Havzası Doğu Akiferi Örneği
(2016)
Yeraltı suyu dünyanın birçok yerinde içme ve tarımsal sulama amaçlı kullanılmaktadır. Tarımsal faaliyetler zamanla yeraltı sularını kirleterek kalitesinin bozulmasına neden olabilmektedir. Kalitesi bozulmuş bu sular insan ...
Determination of Optimum Operation Cases in Electric Arc Welding Machine Using Neural Network
(2011)
With arc welding machines, welding is only performed at optimum operating points. Determination of optimum operating points is important so as for welding machines which will be produced in future to be developed in a ...
ENVIRONMENTAL ASSESSMENT OF WIND ENERGY CONVERSION SYSTEMS IN TURKEY
(Scibulcom Ltd, 2012)
Nowadays, approximation of fossil-based fuel to exhaustion reveals that countries will have difficulty in meeting energy needs in the near future. Renewable energy sources are prognosed as a solution to this problem. Among ...
Determination of Wind Energy Potential in Kirklareli-Turkey
(Taylor & Francis Inc, 2013)
Wind energy has become an important source that has begun to be used for energy in all over the world in recent years. In this study, by examining the wind potential of the western region of Turkey in detail, an analysis ...
Application of wavelet transform to defect detection of building's structure
(Kaunas Univ Technol, 2012)
Various methods can be used to detect the defects of structures. In this paper wavelet transform method is used. Continuous wavelet transform (CWT) is applied to vibration signal analysis of building's construction with ...
Application of Artificial Neural Networks for Defect Detection in Ceramic Materials
(Polska Akad Nauk, Polish Acad Sciences, Inst Fundamental Tech Res Pas, 2012)
In this study, an artificial neural network application was performed to tell if 18 plates of the same material in different shapes and sizes were cracked or not. The cracks in the cracked plates were of different depth ...
Speed Estimation of Brushless Direct Current (BLDC) Motor with Multilayer Perceptron
(Wydawnictwo Sigma-N O T Sp Z O O, 2012)
This study used an artificial neural network model to estimate the revolutions per minute of a brushless direct current (BLDC) motor operating at different driver modes and different load currents. The dataset that was ...
The defect detection in ceramic materials based on wavelet analysis by using the method of impulse noise
(Jve Int Ltd, 2013)
In this experimental study, it was achieved to detect internal or surface cracks that can occur in the production of ceramic plates by using the method of impulse noise. This method is a test technique which was not used ...
Prediction of internal temperature in stator winding of three-phase induction motors with ann
(Wiley, 2011)
This paper implements an artificial neural network (ANN) model able to estimate the internal temperatures in stator winding of a squirrel-cage three-phase induction motor fed by a voltage inverter. A sinusoidal pulse-width ...