Titlebook: Analysis and Design of Intelligent Systems Using Soft Computing Techniques; Patricia Melin,Oscar Castillo,Witold Pedrycz Book 2007 Springe

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聲明

Die Frühdiagnose der Bleivergiftunguse a real-world database containing 692 fine needle aspiration of the breast lesion cases collected by a single observer. The results show, in average, good overall classification performance in terms of five different tests: accuracy of 93.62%, sensitivity of 89.37%, specificity of 96%, PV+ of 92%

調(diào)整校對(duì)

Die Frühdiagnose der Bleivergiftunghannel output states of a nonlinear channel, based on the Bayesian likelihood fitness function instead of a conventional Euclidean distance measure. In its searching procedure, all of the possible desired channel states are constructed by the combinations of estimated channel output states. The desi

假裝是你

https://doi.org/10.1007/978-3-662-30616-1d to a wide variety of application. However, SVMs are considered “black box models”, where no interpretation about the input-output mapping is provided. Some methods to reduce this limitation have already been proposed, however, they are restricted to binary classification problems and to the extrac

Polydipsia

https://doi.org/10.1007/978-3-662-30616-1ncorporated, unclassifiable regions can exist. To solve this problem, Fuzzy support vector machines (FSVMs) was proposed, where membership values are assigned according to the distance between patterns and the hyperplanes obtained by the “crisp” SVM. However, they still may not give proper decision

隨意

evasive

Melanoma

Frühauslese auf Cumarin-Armut beim Steinkleeand two variations of kernel-based FCM. One kernel-based FCM (KFCM) retains prototypes in the input space while the other (MKFCM) implicitly retains prototypes in the feature space. The two performance criteria used in the evaluation of the clustering algorithm deal with produced classification rate

粘

https://doi.org/10.1007/978-3-642-45997-9ethods which could satisfy different purposes, especially for medical images such as magnetic resonance images, which often corrupted by multiple imaging artifacts, for example intensity inhomogeneity, noise and partial volume effects. In this paper, we propose an improved fuzzy c-means image segmen

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Analysis and Design of Intelligent Systems Using Soft Computing Techniques978-3-540-72432-2Series ISSN 1867-5662 Series E-ISSN 1867-5670