[PDF] Top 20 Estimation of Stream Temperature in Degirmendere River (Trabzon- Turkey) Using Artificial Neural Network Model
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Estimation of Stream Temperature in Degirmendere River (Trabzon- Turkey) Using Artificial Neural Network Model
... Artificial Neural Networks (ANN) is a modeling technique with training which takes the working system of the brain as ...factors using an artificial model of the brain, known as ... See full document
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Estimation of pomegranate evapotranspiration for orchard management using artificial neural network
... The estimation of evapotranspiration from vegetated surface is a basic tool to compute water balances and to estimate water availability and ...or stream flow depletion in river ... See full document
5
Water Quality Index Estimation Model for Aquaculture System Using Artificial Neural Network
... as temperature, pH, alkalinity and conductivity are often used to estimate the water quality index (WQI) in ...the estimation of the quality index of the water in the aquatic ...the Artificial ... See full document
10
RAINFALL-RUNOFF MODELING OF TUMAGA RIVER USING ARTIFICIAL NEURAL NETWORK
... Artificial Neural Network is used in predicting the amount of rainfall-runoff that will predict the future amount of discharges in Tumaga Riv- er, Zamboaga City, ...the model - rainfall, ... See full document
7
Response of River Flow Regime to Various Climate Change Scenarios in Ganges-Brahmaputra- Meghna Basin
... and temperature are expected to have a significant impact on the natural flow regime of its ...Meghna River, being a major drainage outlet of the basin, is likely to be affected by such variability and ... See full document
10
Artificial Neural Network Model for Soil Moisture Estimation at Microwave Frequency
... sea-surface temperature, soil moisture is the second most important forcing function ...the estimation of soil moisture content has evolved as a major need of the ... See full document
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Artificial Neural Network Model for Estimation of Wear and Temperature in Pin disc Contact
... of neural network and the corresponding target for training and testing data are shown in figures 6, 7, 8, 9, 10 and 11 for wear, steel disc temperature and pad temperature, ...ANN ... See full document
11
Forecasting of River Sediment Amount using Machine Model
... Accurate estimation of sediments is important in river ...curve, artificial intelligence modeling methods. In this study, the estimation of the sediments content was performed by using ... See full document
7
Predicting energy requirement for heating the building using artificial neural network
... used artificial intelligence models in the application of building energy ...optimization, estimation of usage ...air temperature, and HVAC system ...propagation neural networks to predict the ... See full document
6
Prediction of polyvinyl alcohol (PVOH) properties synthesized at various conditions by artificial neural networks technique
... correct estimation of the parameters and the created model is ...the network (conversion=40, DH=95 %, Mw=80000), optimum inputs (time, temperature and catalyst amount) can be designed for the ... See full document
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Artificial Neural Network Model for Precise Estimation of Global Solar Radiation
... developed neural network takes place in the hidden layer of the ...hours, temperature, humidity, wind speed and rain fall) given by Mani and Rangarajan for eighteen locations (Ahmedabad, Bangalore, ... See full document
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Neural Network based Software Effort Estimation: A Survey
... In this paper, currently used Artificial Neural Network based Effort Estimation techniques are presented and evaluated. Latest work on all the techniques is presented with their results on the ... See full document
6
Three layer wavelet based modeling for river flow
... a stream. This estimation is likely to contribute significantly in resolving a number of hydraulic issues such as the depth of flow, flow velocity, and forces from flowing water on a surface or at hydraulic ... See full document
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Estimation of water quality index in barna stream network of narmada river basin
... River, Uttar Pradesh (Kumar et ...Ganga River, Uttar Pradesh (Chandra et ...Chalakudy River basin, ...Ganga River, Kanpur (Thareja et ...Ganga River, Uttar Pradesh (Chandra et ... See full document
7
Performance Prediction of Refrigeration Systems by Artificial Neural Network
... the neural network essentially depends on the selection of appropriate input, output parameters of the process, the distribution of the data and the format of presentation of the data to the ...Also ... See full document
9
Using artificial neural network to predict power plant turbine hall key cost drivers
... Through the examination of several key elements that usually affecting a successful the price level of project, it can be noted the elements of quantities (design), unit rates, risks and market uncertainties. By ... See full document
25
“Improvement in the Energy Supply Chain Risk Management of Oil and Petroleum Industries” – Using the concept of ANN embedded in SCM
... with neural network concept, then their production have been ...the neural network learns from training and it has continuous feedback and error detection which makes them very flexible and ... See full document
8
MRI brain tumor detection using artificial neural network
... Brain tumor is one of the major causes for the increase in mortality among children and adults. A tumor is a mass of tissue t grows out of control of the normal forces that regulates growth (Pal and Pal, 1993). The ... See full document
7
Improved the Prediction of Multiple Linear Regression Model Performance Using the Hybrid Approach: A Case Study of Chlorophyll a at the Offshore Kuala Terengganu, Terengganu
... ANN-MLR model performance compared to MLR and ANN, statistical measurements such as MSE and MAE are ...MLR model a shows a poor pattern. The ANN model we’re able to provide more accurate prediction ... See full document
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Title: CLASSIFICATION ON BREAST CANCER USING GENETIC ALGORITHM TRAINED NEURAL NETWORK
... The biological genetic algorithm metaphor is the development of species by the fittest survival as described by Charles Darwin. The crossover of genetic information between two parents in an animal or plant population ... See full document
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