[PDF] Top 20 Performance prediction of a thermal system using Artificial Neural Networks
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Performance prediction of a thermal system using Artificial Neural Networks
... the performance of the ...forward neural networks model was developed to predict overall heat transfer coefficient UDesign of the design condenser system and the model was trained, validated ... See full document
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Student Academic Performance Prediction using Artificial Neural Networks: A Case Study
... Perceptron neural network to predict student performance on a blended learning course ...predicted performance of students with correct classification rate (CCR) of ...a neural network to ... See full document
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Online identification of heat dissipaters using artificial neural networks
... to neural based techniques which are adapted from standard ARX (AutoRegressive structure with eXtra inputs) and OE (Output-Error) ...the Neural Network ARX (NNARX) model, only one example is given, which ... See full document
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Comparison between mathematical models and artificial neural networks for prediction of sorption isotherm in rough rice
... 2008). Artificial neural networks have been used in some industrial applications such as: performance prediction of an industrial paper dryer (Huang and Mujumdar, 1995), pre- dictive ... See full document
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Prediction of the Experimental Data for Removal of Organic Pesticides by Carbon Nanoparticle Synthesized from Pomegranate Peel using Artificial Neural Networks
... feed-forward neural network with two layers and post-propagation training algorithm of Levenberg-Marquardt (BP-LM) was used for ...in neural networks is the number of neurons in the hidden ... See full document
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Exergetic Performance Prediction of a Roughened Solar Air Heater Using Artificial Neural Network
... energy performance of SAH, calculating the optimal value of performance parameters of a flat- plate solar air heater for the maximum exergy ...conditions using four types of absorber plates and ... See full document
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ARTIFICIAL NEURAL NETWORKS WITH VERTICAL HANDOFF PREDICTION BASED ON USER BEHAVIOUR
... discovering system, decision to commence vertical handoff, and execution of ...The system discovery phase, the mobile terminal determines the target networks for the handoff by analyzing the data ... See full document
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Design optimization considering variable thermal mass, insulation, absorptance of solar radiation, and glazing ratio using a prediction model and genetic algorithm
... minimize thermal load and improve thermal comfort for a two-star green building in Wuhan, ...The thermal load of the building before optimization is 36% lower than a typical energy-efficient building ... See full document
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Significant Location Detection & Prediction in Cellular Networks using Artificial Neural Networks
... phone networks by improving not only user-applications but also the network management ...location prediction. We design a system that logs cell id and timestamp data from the users’ mobile device, ... See full document
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Prediction of CEC using fractal parameters by artificial neural networks
... the artificial neural networks was run at least 15 times and the PTF with the best performance was selec- ...0.38-0.93. Using more input va- riables may increase the accuracy and ... See full document
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Vector Control of a Grid-Connected Rectifier/Inverter Using an Artificial Neural Network
... problems using a neural network to control a grid-connected ...The neural network implements a dynamic programming (DP) algorithm and is trained using backpropagation through ...The ... See full document
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Using the artificial neural networks for prediction and validating solar radiation
... After creating the normalization values from the previous equation, the datasets in the training and testing phases are divided randomly into three subsets: training, valid- ation, and testing [3]. The numbers of hidden ... See full document
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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 ...LEARNDGM, performance ... See full document
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Identification and Prediction of Internet Traffic Using Artificial Neural Networks
... complex networks, which characterize many natural and artificial systems such as internet, airline transport sys- tems, power grid infrastructures, and the World Wide Web ...network performance ... See full document
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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
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Compact Solar Refrigeration System (CSRS) Performance – A Comparative Analysis using ANN based Predictive Models
... refrigeration system to improve considerably the quality of life of the rural community in remote ...effectiveness. Artificial Neural Network (ANN) concept has been expanded in this work from the ... See full document
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System health management of safety critical systems using artificial neural networks
... critical system is done using artificial neural network predictors and ...to neural network predictor section for generating upcoming values of these ...the system for given set ... See full document
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Combat aircraft effectiveness prediction by artificial neural networks
... in performance penalties (Aronstein & Piccirillo, ...best performance could only be achieved through a total new ...high performance is necessary (Bashkirov, ...and prediction difficulty, ... See full document
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Prediction of littoral drift with artificial neural networks
... testing performance (Table 3) and that for quick field applications or for making hand calculations an equation would be preferred by the practitioners rather than the complex matrix of trained weight and bias, a ... See full document
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Prediction of Stock Prices Using Artificial N...
... addition, artificial neural networks are often able to detect subtle patterns and trends that may be too intricate for humans to ...Further, artificial neural networks can ... See full document
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