[PDF] Top 20 Performance Prediction of Refrigeration Systems by Artificial Neural Network
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Performance Prediction of Refrigeration Systems by Artificial Neural Network
... a refrigeration system can be characterized by two major time-regimes, namely transient and steady ...the systems transient responses are much faster than the transients of the ... See full document
9
Performance Prediction for Post Graduate Students using Artificial Neural Network
... neural network, tree decision & linear regression to predict academic performance of ...the neural network models. Any prediction system's accuracy improves with the use of ... See full document
9
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 ...energy systems and concluded that exergy analysis is ... See full document
12
Current Approaches to the Use of Artificial Intelligence for Injury Risk Assessment and Performance Prediction in Team Sports: a Systematic Review
... Lapham and Bartlett [77]’s study was one of the first studies using AI in the analysis of sports performance. In 1995, they demonstrated that the increasing role of computers in the decision-making process, ... See full document
12
A Survey on Rainfall Prediction using Artificial Neural Network
... ; artificial neural network (ANN), K-nearest-neighbors (K-NN), and linear regression ...(LR). Prediction was performed in the context of two modes including normal mode (without data ... See full document
9
Parameters Optimization Using Genetic Algorithms in Support Vector Regression for Sales Volume Forecasting
... various prediction Artificial Intelligent (AI) techniques have been proposed in ...and performance than traditional SVR and artificial neural network (ANN) prediction ... See full document
7
Prediction of Compressive Strength of High Performance Concrete using Artificial Neural Network (ANN) Models
... that the proposed ANN model was suitable for predicting the compressive strength values very closely with the experimental values. K. E. Hassan et al, carried laboratory study on the properties of super-plasticized high ... See full document
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Using GIS and Artificial Neural Network for Deforestation Prediction
... Deforestation is an important issue that has received considerable atten- tions in many different disciplines. As shown in previous studies cite, this phenomenon has a negative impact on regional hydrology, large-scale ... See full document
15
Design optimization considering variable thermal mass, insulation, absorptance of solar radiation, and glazing ratio using a prediction model and genetic algorithm
... Two prediction models, multi-linear regression (MLR) model and an artificial neural network (ANN) model, are developed to predict the building thermal performance and adopted as fitness ... See full document
15
Compact Solar Refrigeration System (CSRS) Performance – A Comparative Analysis using ANN based Predictive Models
... the performance of CSRS fairly well under different climatic conditions and locational ...of neural networks take more training time to reach convergence process because of many training factors such as ... See full document
6
A New Approach for Rainfall Prediction using Artificial Neural Network
... Rainfall Prediction has a broader ...rainfall prediction, which affects many human activities like construction power generation, forestry and tourism, agricultural production, among ...Rainfall ... See full document
12
Price Prediction of Stock Market using Hybrid Model of Artificial Intelligence
... dynamic systems like the stock market is chaos ...A neural networks ability to capture both deterministic and random features makes it ideal for modeling chaotic ... See full document
5
Prediction of Construction Project Performance using Regression Analysis and Artificial Neural Network
... Generally, the aim of this analysis was to come up with the comparable models results obtained based on artificial neural networks and regression analysis. The relative measure of accuracy are used to ... See full document
8
Prediction of Petroleum Price Using Back Propagation Artificial Neural Network Based on Chaotic Self-Adaptive Particle Swarm Algorithm
... From the graph, it can be concluded that the training effect of CSAPSO-BP ANN model is good, and the predicted value and actual value of the model are relatively good. By training the set of trained models, the ... See full document
6
Artificial Neural Network for LiDAL Systems
... better performance with 8% error compared to CCM and BSM which have 11% and 19% error ...LiDAL systems, an optimum detection threshold was derived in [33] taking into account the randomness due to the user ... See full document
12
Biomedical Prediction of Radial Size of Powdered Element using Artificial Neural Network
... the performance index at the present values of the biases as well as weights, which is the elementary step to the Newton’s method, takes more time hence making the method complex for feed forward ... See full document
10
Development of Neurobehavioral Deterioration Risk Prediction Model for Welder: A Proposed Study
... Risk prediction model estimate the risk of emerging upcoming outcomes for individual based on several underlying ...a prediction model on neurobehavioral deterioration risk of ...of prediction model ... See full document
8
The Use of Fundamental Color Stimulus to Improve the Performance of Artificial Neural Network Color Match Prediction Systems
... optimized neural network match prediction ...the performance of the ...the performance of the neural network prediction ... See full document
9
Artificial Neural Network Model for Friction Factor Prediction
... of artificial intelligence in the area of fluid flow. The use of artificial neural network, an artificial intelligence technique for prediction of friction factor was ... See full document
7
Disease Identification in Cotton Plants Using Spatial FCM & PNN Classifier
... A prediction approach based on support vector machines [4] for developing weather based prediction models of plant diseases is proposed by Rakesh & ...The performance of conventional multiple ... See full document
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