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Superconvergence of Mixed Finite Element Method with Bernstein Polynomials for Stokes Problem
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Numerical Solutions of Second-Order Elliptic Equations with C-Bézier Basis
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Output Layer Structure Optimization for Weighted Regularized Extreme Learning Machine Based on Binary Method
4.2. Classification Accuracies and Computational Time In Table 2, we choose the optimal accuracy (OA) and calculate the average accuracy (AA) according to the one hundred results in support vector machine (SVM), associative pulsing neural network (APNN), ELM and WRELM. Make a longitudinal contrast to the classification accuracies in Table 2. The sequence of these four classifiers is: WRELM > ELM > APNN > SVM.
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