Traditional prediction of reservoir parameters is based on mathematical statistics.forexample, the multiple linear regression,partial least squares regression,well logging theoryand the empirical formula. actual reservoir geological structure in the different presents adifferent regularity in formation lithology, physical properties, electrical properties, oilproperties.log interpretation results should be consistent with their respective laws. it isdifficult to explain the laws
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Support Vector Machine (SVM) as the statistical learning theory of VC dimension theoryand structural risk minimization of criteria specific implementation tools was proposed byVapnik and his partners. Compared with traditional neural network learning methods, SVMhas many merits such as global optimum, simple structure, generalization performance and soon. Support Vector Machine is a new and very
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Entropy fuzzy clustering is a combination method of fuzzy clustering and entropy. It hasnot only the advantages of entropy in expressing related information among the data samplesbut also the characteristics of quality about soft clustering in fuzzy clustering algorithms, so itoccupies an important place in the field of data clustering. Through the analyses of entropyfuzzy
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Along with the further development on the digital image processing technology, this newtechnology is applied on the surface road damage detection which not only save labour forcesand resist the subjective interruption, but also it is able to provide a fast and accurate evaluationon the road status which is really useful. This article is the research
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