U domeni primjene hidroloških modela predvi đ anja otjecanja temeljenih na umjetnoj neuronskoj mreži utvr đ en je izostanak primjene takve vrste modela na

This paper contributes to the above literature by examining the direct effects of state ownership on lending behavior and bank capitalization, specifically around the time of

Keywords: rainfall-runoff models; Plouènice river catchment; applications of artificial neural networks; water quality.. Hydrological models solving rainfall-runoff process can

Résumé: As a result of outstanding economic performance during the last years, Turkey is experiencing demand boom to natural gas. Turkish government has been implementing

In the present research, an Artificial Neural Network (ANN) was used to predict daily river runoff as a function of daily evapotranspiration and rainfall for the Bertam river

Prediction; rainfall and runoff; artificial neural network; modular model; singular.. 27 spectrum analysis 28 29

The performance of the proposed D-ANN is compared with a feed forward neural network (FF-ANN) model developed for the same basin and is discussed in the following sec- tions..

The present study was undertaken to develop daily and hourly rainfall-runoff models using the ANNs method that can possible be used to provide reliable and accurate estimates

In this study, artificial neural network (ANN) methods were applied to model the.. hourly and daily

Results of ANN models reflect that the perfor- mance of neural network model is better than HEC-HMS and MLR models, for mod- elling the rainfall-runoff relationship.. Apparently,

The four-year average nitrate-N concentration for the soybean phase with fall applied nitrogen to the previous corn crop had significantly lower nitrate-N concentrations when

Oluşturulan yapay sinir ağları mima- risinde 3 gün önceye kadar olan yağış verileri girdi olarak alınmış, ileri beslemeli geriye yayı- nım metodunda farklı gizli tabaka

Keywords: Artificial Neural Networks (ANNs); Event Based Rainfall-Runoff Process; Error Back Propagation; Neural

The input parameters required are relative humidity, maximum temperature, minimum temper- ature, average temperature, rainfall data and actual river discharge.. These are the

Although the global statistics showed that the multi layer perceptron with 4 hidden layers (MLP4) is the best ANN for the basin comparing with other MLP networks and

Keywords: flood prediction; flood forecasting; hydrologic model; rainfall–runoff, hybrid & ensemble machine learning; artificial neural network; support vector;

Now that you understand the difference between motive, personality and behavior, you probably see how pointless it is to try and simply evaluate and change behavior. Dealing

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