[PDF] Top 20 Artificial Neural Network Approach for Estimation of Land Surface Temperature
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Artificial Neural Network Approach for Estimation of Land Surface Temperature
... Satellite (GOES) has a 4-km resolution in the termal infrared, while the NOAA-Advanced Very High Resolution Radiometer (AVHRR), Terra and Aqua- Moderate Resolution Imaging Spectroradiometer (MODIS) have 1-km spatial ... See full document
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An artificial neural network approach for cost estimation of engineering services : enhancing cost estimation efficiency
... First of all, as stated above 132 individual data points were collected and the best neural network was developed using 60 data points. This is considered as very low, as the total amount of projects that ... See full document
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Estimation of umbilical cord blood leptin and insulin based on anthropometric data by means of artificial neural network approach: identifying key maternal and neonatal factors
... of neural net- works keeps on expanding [30–32], and now repre- sents a set of methods that have been useful for solving pediatric problems [33, 34], identifying key factors such as in fetal growth [35, 36] and ... See full document
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ESTIMATION OF LAND SURFACE TEMPERATURE OF KADUNA METROPOLIS, NIGERIA USING LANDSAT IMAGES
... Land surface temperature can provide noteworthy information about the surface physical properties and climate, which plays a role in many environmental processes (Dousset and Gourmelon, 2003; ... See full document
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Artificial Neural Network Model for Precise Estimation of Global Solar Radiation
... the artificial neural ...forward neural networks were developed and the performance of the developed models was ...forward neural network gave accurate results and the average value of ... See full document
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Estimation of Stream Temperature in Degirmendere River (Trabzon- Turkey) Using Artificial Neural Network Model
... Water temperature is one of the most important abiotic factors determining the overall health of fish and other aquatic organisms in aquatic ecosystem ...the surface and close to the shore, the water ... See full document
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Time series prediction of sea surface temperature in Indian ocean by superensembling of artificial neural network output
... a network by providing high correlation and low root mean square ...baseline approach was the creation of a simple superensemble network using two ways first where output of various ensemble networks ... See full document
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Estimation of biodiesel properties from chemical composition – an artificial neural network (ANN) approach
... using artificial neural networks (ANN) for the prediction of biodiesel kinetic viscosity from its chemical ...the network, experimental data was collected from more than 120 peer reviewed paper ... See full document
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Estimation of pomegranate evapotranspiration for orchard management using artificial neural network
... difference between the standard surface and crop evapotranspiration. Thus, indirect methods based on climatological data are used for ETr estimation. Crop evapotranspiration differs distinctly from ... See full document
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Artificial Neural Network Model for Estimation of Wear and Temperature in Pin disc Contact
... interface temperature can become high enough to cause changes in the structure and properties of siding materials, oxidation of the surface, and possibly even melting of the contacting ...the ... See full document
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Radio location of partial discharge sources : a support vector regression approach
... cost approach for uninterrupted monitoring of PD using a network of inexpensive radio sensors to sample the spatial patterns of PD received signal ...regression surface in a high dimensional feature ... See full document
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Intelligent Methods Used for Obtaining Weather Derivatives: A Review
... The analysis of clouds and their features is important for a wide variety of applications. It has been used for now casting to deliver accurate weather forecasts [14], rainfall, and satellite precipitation estimates ... See full document
5
Response surface and artificial neural network prediction model and optimization for surface roughness in machining Pages 229-240 Download PDF
... the surface roughness on the machining of D2 steel with 95% confidence ...propagation neural network model for the prediction of surface roughness in turning operation of mild steel workpiece ... See full document
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Predicting Rectal Temperature of Broiler Chickens with Artificial Neural Network
... relative humidity, RH; and air velocity, V). The architecture chosen for this purpose was a single hidden layer Multilayer Perceptron (MLP), which was developed and trained under Scilab 4.1.1 aimed with ANN toolbox ... See full document
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Project Selection: Artificial Neural Network Approach
... the network must be scaled for the network to be ...the network can be any value, however scaling values to the same order of magnitude (generally in the range 0 to 1 or -1 to 1) enables the ... See full document
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Artificial Neural Network Models For Software Effort Estimation
... Software estimation accuracy is one of the greatest challenges for software ...time estimation supports the planning and tracking of software ...effort estimation models which adopt a neural ... See full document
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Text Recognition using Convolutional Neural Network: A Review
... a network size of 189�160�36 was configured for this ...feedforward network was determined, the network was trained and tested in ...the network has not seen the testing data during the ... See full document
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Ultrasound estimation of fetal weight in twins by artificial neural network
... weight estimation 81 fetuses that were delivered within the subsequent 3 months from May 2010 to July 2010 and met the criteria described above were used as the validation ... See full document
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Shape Optimization of Pedestals Using Artificial Neural Network
... bottom surface 300mm and 500mm is shown in ...top surface of the ...the neural network. Successfully trained network is employed for shape optimisation of newer ... See full document
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Artificial Neural Network Classification for Gunshot Detection and Localization System
... [27]. Navrátil, M., Křesálek, V., &Dostálek, P. (2011, May).Neural network classification of gunshots using spectral characteristics. In Proceedings of the 13th WSEAS international conference on ... See full document
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