Description: 支持向量机工具箱,其中包含MATLAB演示程序和一些基本的函数(计算核函数的函数、支持向量机训练函数和参数选择交叉验证函数等)。-SVM Toolbox, which contains MATLAB demo programs and some of the basic functions (Calculation Kernel function, SVM training function and parameter selection cross-validation functions, etc.). Platform: |
Size: 247586 |
Author:王晓 |
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Description: This toolbox was designed as a teaching aid, which matlab is
particularly good for since source code is relatively legible and
simple to modify. However, it is still reasonably fast if used
with the supplied optimiser. However, if you really want to speed
things up you should consider compiling the matrix composition
routine for H into a mex function. Then again if you really want
to speed things up you probably shouldn t be using matlab
anyway... Get hold of a dedicated C program once you understand
the algorithm. Platform: |
Size: 124928 |
Author:Amy |
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Description: 关于SVM toolbox的详细使用说明,使读者可以很快的会使用SVM matlab工具箱-About SVM toolbox for details on these, so that readers can quickly use the SVM matlab toolbox Platform: |
Size: 808960 |
Author:佳慧 |
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Description: matlab的支撑向量机工具箱的使用介绍,比较实用的文档-matlab toolbox for the use of support vector machine introduced more practical document
Platform: |
Size: 98304 |
Author:tangxiaoyan |
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Description: 基于Matlab的最小二乘支持向量机的工具箱及其应用_李-The least squares support vector machine (SVM) based on Matlab toolbox and its application _ Li Fangfang Platform: |
Size: 361472 |
Author:杨源 |
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Description: 这是一个Matlab的LS-SVM工具箱使用叫教程,借助它可以更快地了解掌握LS-SVM的使用方法-This is a guidebook in Chinese of LS-SVM toolbox for Matlab, which can help to quickly understand and master the use of LS-SVM toolbox Platform: |
Size: 12288 |
Author:Fred |
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Description: 支持向量机用于实现数据挖掘的代码,还有该工具箱的使用实例-matlab code of support vector machine for data mining, with example of this toolbox Platform: |
Size: 696320 |
Author:华胜 |
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Description: For beginners with a reference value, matlab development toolbox support vector machine, Undergraduate complete set requirements refer to the standard test models. Platform: |
Size: 132096 |
Author:邱小立
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Description: 本书共有43章,内容涵盖常见的神经网络(BP、RBF、SOM、Hopfield、Elman、LVQ、Kohonen、GRNN、NARX等)以及相关智能算法(SVM、决策树、随机森林、极限学习机等)。同时,部分章节也涉及了常见的优化算法(遗传算法、蚁群算法等)与神经网络的结合问题。此外,本书还介绍了MATLAB R2012b中神经网络工具箱的新增功能与特性,如神经网络并行计算、定制神经网络、神经网络高效编程等(This book consists of 43 chapters, covering common neural networks (BP, RBF, SOM, Hopfield, Elman, LVQ, Kohonen, GRNN, NARX, etc.) and related intelligent algorithms (SVM, decision tree, random forest, extreme learning machine, etc.). At the same time, some chapters also involve the combination of common optimization algorithms (genetic algorithm, ant colony algorithm, etc.) and neural networks. In addition, the book also introduces the new functions and characteristics of the neural network toolbox in MATLAB R2012b, such as parallel computing of neural networks, customized neural networks, efficient programming of neural networks, etc) Platform: |
Size: 54128640 |
Author:caravan |
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