The nature of statistical learning theory
The nature of statistical learning theory
A tutorial on support vector regression
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Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Generalized linear model-based expert system for estimating the cost of transportation projects
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A study of cross-validation and bootstrap for accuracy estimation and model selection
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Prediction of diesel engine performance using biofuels with artificial neural network
Expert Systems with Applications: An International Journal
Prediction of building energy needs in early stage of design by using ANFIS
Expert Systems with Applications: An International Journal
Aseismic ability estimation of school building using predictive data mining models
Expert Systems with Applications: An International Journal
Research on Power System Load Forecasting Model Based on Data Mining Technology
ISDEA '10 Proceedings of the 2010 International Conference on Intelligent System Design and Engineering Application - Volume 02
Review: A review of data mining applications for quality improvement in manufacturing industry
Expert Systems with Applications: An International Journal
Fuzzy-Bayesian network for refrigeration compressor performance prediction and test time reduction
Expert Systems with Applications: An International Journal
Financial early warning system model and data mining application for risk detection
Expert Systems with Applications: An International Journal
Global data mining: An empirical study of current trends, future forecasts and technology diffusions
Expert Systems with Applications: An International Journal
Predicting and analyzing secondary education placement-test scores: A data mining approach
Expert Systems with Applications: An International Journal
Review: Data mining techniques and applications - A decade review from 2000 to 2011
Expert Systems with Applications: An International Journal
Machine learning methods to forecast temperature in buildings
Expert Systems with Applications: An International Journal
ANN-based residential water end-use demand forecasting model
Expert Systems with Applications: An International Journal
A combined mining-based framework for predicting telecommunications customer payment behaviors
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
A major challenge in many countries is providing sufficient energy for human beings and for supporting economic activities while minimizing social and environmental harm. This study predicted coefficient of performance (COP) for refrigeration equipment under varying amounts of refrigerant (R404A) with the aids of data mining (DM) techniques. The performance of artificial neural networks (ANNs), support vector machines (SVMs), classification and regression tree (CART), multiple regression (MR), generalized linear regression (GLR), and chi-squared automatic interaction detector (CHAID) were applied within DM process. After obtaining the COP value, abnormal equipment conditions can be evaluated for refrigerant leakage. Analytical results from cross-fold validation method are compared to determine the best models. The study shows that DM techniques can be used for accurately and efficiently predicting COP. In the liquid leakage phase, ANNs provide the best performance. In the vapor leakage phase, the best model is the GLR model. Experimental results confirm that systematic analyses of model construction processes are effective for evaluating and optimizing refrigeration equipment performance.