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  1. (2007_Elsevier)Essential_Matlab_for_Engineers_and_

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  2. (2007 Elsevier)Essential Matlab for Engineers and Scientists(3rd Edition)
  3. 所属分类:matlab

    • 发布日期:2017-05-13
    • 文件大小:3119178
    • 提供者:tian
  1. SVMhybridsystem

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  2. A distributed PSOSVM hybrid system with feature selection and parameter optimization -Abstract This study proposed a novel PSO–SVM model that hybridized the particle swarm optimization (PSO) and support vector machines (SVM) to improve the clas
  3. 所属分类:AI-NN-PR

    • 发布日期:2017-03-22
    • 文件大小:564898
    • 提供者:alice
  1. 20104102125258460

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  2. In this paper we discuss the problem of recovering the vertices of a planar polygon from its measured complex moments.Because the given, measured moments can be noisy, the recovered vertices are only estimates of the true ones. The literature offers
  3. 所属分类:matlab

    • 发布日期:2017-04-14
    • 文件大小:3733
    • 提供者:zhuyuanli
  1. bookMatlab

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  2. This book presents the MATLAB computer programming system as a problemsolving tool for scientists and engineers who have no prior knowledge of computer programming. It is based on a teach-yourself approach readers are frequently invited to expe
  3. 所属分类:matlab

    • 发布日期:2017-05-24
    • 文件大小:3119890
    • 提供者:毋东
  1. localGlobal

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  2. Implementation of an elsevier article titled A new local-global approach For Classification.
  3. 所属分类:AI-NN-PR

    • 发布日期:2017-04-10
    • 文件大小:1468
    • 提供者:mina
  1. 18

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  2. Three phase high frequency isolated DC-DC converter (published in ELSEVIER)is simulated under symmetrical open loop control. It provides Low voltage conversion ratio, isolation, good regulation with fast dynamic response
  3. 所属分类:matlab

    • 发布日期:2017-04-29
    • 文件大小:12488
    • 提供者:hamid rezaie
  1. Grey-Wolf-Optimizer-Toolbox

    1下载:
  2. Grey wolf optimization code new code for optimization with new paper in Elsevier site this code cached mathworks.com-Grey wolf optimization code new code for optimization with new paper in Elsevier site this code cached mathworks.com
  3. 所属分类:matlab

    • 发布日期:2017-03-31
    • 文件大小:168773
    • 提供者:elshan.j
  1. MLkNN

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  2. ML-KNN,这是来自传统的K-近邻(KNN)算法。详细地,为每一个看不见的实例中,首先确定了训练集中的k近邻。之后,基于从标签集获得的统计信息。这些相邻的实例,即属于每个可能类的相邻实例的数量,最大后验(MAP)原理。用于确定不可见实例的标签集。三种不同现实世界中多标签学习问题的实验研究,即酵母基因功能分析、自然场景分类和网页自动分类,表明ML-KNN实现了卓越的性能(ML-KNN which is derived from the traditional K-nearest neighbo
  3. 所属分类:人工智能/神经网络/深度学习

    • 发布日期:2017-12-18
    • 文件大小:5120
    • 提供者:
  1. Electric Power Systems Research IF 2 Elsevier

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  2. Electric Power Systems Research -IF-2.6- Journal - Elsevier
  3. 所属分类:matlab例程

    • 发布日期:2018-01-02
    • 文件大小:294912
    • 提供者:24021980
  1. 00-2017-elsevier-PID da Tang-multistage-

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  2. 00-2017-elsevier-PID da Tang-multistage-
  3. 所属分类:人工智能/神经网络/深度学习

    • 发布日期:2018-04-21
    • 文件大小:1569792
    • 提供者:24021980
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