[PDF] Top 20 Using the artificial neural networks for prediction and validating solar radiation
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Using the artificial neural networks for prediction and validating solar radiation
... activation functions in the hidden layer in ANN models. The study showed that the ANN models are suitable for evaluating solar radiation in Turkey. Mohandes et al. [7] designed the ANN-based models for ... See full document
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Prediction of CEC using fractal parameters by artificial neural networks
... by artificial neural networks and multiple ...CEC using soil clay and organic matter ...CEC prediction such as the type and the morphology of clay minerals, and the origin of soil ... See full document
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ARTIFICIAL NEURAL NETWORKS WITH VERTICAL HANDOFF PREDICTION BASED ON USER BEHAVIOUR
... Handoff prediction will foresee the handoff that is likely to occur in future so that the handover operations are done ...handoff prediction using Artificial Neural Networks ... See full document
5
Tool Life Prediction in Face Milling Machining of 7075 Al by Using Artificial Neural Networks (ANN) and Taguchi Design of Experiment (DOE)
... 30 Abstract—Tool life is an important indicator of the milling operation in manufacturing process. Studies and analyses of milling process are usually based on three main parameters composed of cutting speed, feed rate ... See full document
6
Prediction of gas emission quantity using artificial neural networks
... the artificial neural networks with known experimental data to make a ...groups using General Regression Neural Network (GRNN) and Multilayer Feedfoward Neural Network (MLFN) ... See full document
5
Significant Location Detection & Prediction in Cellular Networks using Artificial Neural Networks
... phone networks by improving not only user-applications but also the network management ...period using artificial neural ...the neural network is automatically adapted, with the help of ... See full document
9
Prediction of the Experimental Data for Removal of Organic Pesticides by Carbon Nanoparticle Synthesized from Pomegranate Peel using Artificial Neural Networks
... perceptron artificial neural network, back propagation algorithm and Levenberg– Marquardt method are ...of prediction of the removal efficiency using perceptron artificial neural ... See full document
15
Prediction of Corrosion Rates in Structural Steel Using Artificial Neural Networks
... the prediction of corrosion in steel was proposed with the learning ability of artificial neural network using MATLAB ...The prediction of corrosion rate has become an important ... See full document
9
Prediction of Dengue Outbreaks in Sri Lanka using Artificial Neural Networks
... Dengue using the records of Western and Southern ...outbreak using a regression analysis, predicting DF cases using an ANN and simulating the results using a GIS ... See full document
5
Identification and Prediction of Internet Traffic Using Artificial Neural Networks
... an artificial neural network (ANN) model based on the multi-layer perceptron (MLP) for analyzing internet traffic data over IP ...IP networks to identify the ANN model, and we studied the performance ... See full document
9
Prediction of Pitting Corrosion Characteristics using Artificial Neural Networks
... NEURAL NETWORK ARCHITECTURE In this work neural network is used for prediction pitting density and pit depth in different concentration of ferric chloride, immersion duration, and roughn[r] ... See full document
5
PREDICTION OF LEAF SPRING PARAMETERS USING ARTIFICIAL NEURAL NETWORKS
... creating networks load on the leaf spring, width of the leaf and thickness of the leaf were taken as input values and maximum displacement, stress, frequencies are taken as target ... See full document
6
Performance prediction of a thermal system using Artificial Neural Networks
... forward neural networks model was developed to predict overall heat transfer coefficient UDesign of the design condenser system and the model was trained, validated and tested for ... See full document
7
Prediction of littoral drift with artificial neural networks
... the bed-load transport. The opening of the trap was 0.2 m wide, 0.15 m high, and rectangular in shape. The filter cloth mesh opening size was 90 µm and the opening of the mesh trap was 0.034 m. The procedure of Kraus ... See full document
9
Prediction of Ultrasonic Parameters of Mortar by using Artificial Neural Networks Techniques
... For the first model, the best configuration is found for an ANN model with only eight neurons in the hidden layer. The MRE, MAE and SE for this optimal model are respectively 0.29%, 0.0011 (m/s) and 0.00026 (m/s) for the ... See full document
5
Prediction of agricultural tractor noise levels using artificial neural networks
... applications. Prediction of noise levels is necessary for determining the unsafe levels according to the world standards and trying to avoid the dangerous situations that might arise ... See full document
7
Combat aircraft effectiveness prediction by artificial neural networks
... aircraft is defined as “ a stealth aircraft (orplatform) has a low Radar Cross Section (RCS), a low Infra Red (IR) signature and an avionics fit that reduce the probability of another aircraft detecting emissionf’^^. ... See full document
330
A Hybrid Method for Compression of Solar Radiation Data Using Neural Networks
... , prediction of hourly solar radiation values for Kuala Lumpur was ...This prediction was performed using the GRNN, FFNN, CFNN, and ELMNN artificial neural ... See full document
12
In Search of a Warning Strategy Against Exchange rate Attacks: Forecasting Tactics Using Artificial Neural Networks
... The prediction exercised here is performed in a discrete dynamics environment, based on the daily fluctuations of the interbank overnight interest rate, using artificial neural networks [r] ... See full document
18
Artificial Neural Network Model for Precise Estimation of Global Solar Radiation
... the solar-energy potential in Turkey using artificial neural ...the neural network, Meteorological and geographical data (latitude, longitude, altitude, month, mean sunshine duration, ... See full document
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