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A new measuring method based on information entropy theory is proposed in this study.
In addition, a novel AE signal analysis method based on information entropy was studied.
In this paper, a new learning function based on information entropy is proposed.
This research proposes a new method for optimizing the number of hidden neurons based on information entropy.
In [10], Yong et al. propose the algorithm for multi-source image matching based on information entropy which comprehensively considers of the intensity information and the edge direction information.
Chi & Mytkowicz (2008) analyzed the social tagging activities of del.icio.us and they proposed a metric based on information entropy for drawing insights about the tagging behavior of del.icio.us users.
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The classifier screens the informative features to build decision trees based on the information entropy concept.
A measure of mixing, based on the information entropy, has been used to quantify the progress of mixing with time.
The approach is based on the information entropy (IE) theory and division of the signal (photon counts, differential or gauge pressure fluctuations) into different regions.
In this paper, a method based on the Information Entropy (IE) is developed to evaluate the equilibrium stability of a given dynamic system.
An algorithm for continuous attribute discretization based on conditional information entropy and an algorithm for rule extraction considering the supports of rules are proposed.
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