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Compute

  • This contribution provides functions for finding an optimum parameter set using the evolutionary alg

    This contribution provides functions for finding an optimum parameter set using the evolutionary algorithm of Differential Evolution. Simply speaking: If you have some complicated function of which you are unable to Compute a derivative, and you want to find the parameter set minimizing the output of the function, using this package is one possible way to go.

    标签: contribution evolutionary functions parameter

    上传时间: 2017-06-03

    上传用户:海陆空653

  • Functions are mappings from one Manifold to another. Discrete Functions are functions which can be r

    Functions are mappings from one Manifold to another. Discrete Functions are functions which can be represented using a finite number of values. Given the finite extent of Computer memory, algorithms which Compute a function that satisfies some special properties are computing a discrete function which approximates a continuous function. Computing the function involves writing a set of equations that may be solved for the values representing the function.

    标签: Functions are functions Discrete

    上传时间: 2017-08-05

    上传用户:671145514

  • Uploaded th ebook titled"Elementary.Mathematical.and.Computational.Tools.for.Electrical.and.Compute

    Uploaded th ebook titled"Elementary.Mathematical.and.Computational.Tools.for.Electrical.and.Computer.Engineers.Using.MATLAB".

    标签: Computational Mathematical Elementary Electrical

    上传时间: 2017-08-05

    上传用户:hn891122

  • Bi-density twin support vector machines

    In this paper we present a classifier called bi-density twin support vector machines (BDTWSVMs) for data classification. In the training stage, BDTWSVMs first Compute the relative density degrees for all training points using the intra-class graph whose weights are determined by a local scaling heuristic strategy, then optimize a pair of nonparallel hyperplanes through two smaller sized support vector machine (SVM)-typed problems. In the prediction stage, BDTWSVMs assign to the class label depending on the kernel density degree-based distances from each test point to the two hyperplanes. BDTWSVMs not only inherit good properties from twin support vector machines (TWSVMs) but also give good description for data points. The experimental results on toy as well as publicly available datasets indicate that BDTWSVMs compare favorably with classical SVMs and TWSVMs in terms of generalization

    标签: recognition Bi-density machines support pattern vector twin for

    上传时间: 2019-06-09

    上传用户:lyaiqing

  • bootstrap

    Bootstrap algorithm used to Compute significance of a statistical measure performed on the array X

    标签: bootstrap

    上传时间: 2020-12-02

    上传用户: