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As recently as a result of the shortage of energy, the price of oil and raw material are rising, plus the long-term ecological destruction to the environment, the Earth carbonation growing phenomenon, and therefore reduce carbon emissions has become a hot topic. Usually the air conditioning system as long as to reach the set temperature, the compressor will be stopped, while the ambient temperature...
A self-organizing map (SOM) is a nonlinear, unsupervised neural network model that could be used for applications of data clustering and visualization. One of the major shortcomings of the SOM algorithm is the difficulty for non-expert users to interpret the information involved in a trained SOM. In this paper, this problem is tackled by introducing an enhanced version of the proposed visualization...
Adaptive resonance theory network II (ART2) is a neural network concerning unsupervised learning. It has been shown that ART2 is suitable for clustering problems that require on-line learning of large-scale and evolving databases. However, if applied to classification problems, ART2 suffers from deficiencies in terms of interpretation of class labels and sensitivity to the input data-order. This study...
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