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SVMMATLAB_200994195693
支撑矢量机用matlab编写的程序源代码(SVM)
- 2010-08-21 09:29:31下载
- 积分：1
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PouyaAkhondzadeh_xy-cut-algorithm
We present in this paper a new method for blind source separation
which is adapted to the case where the sources have different morphologies.
We show that the morphology diversity concept leads to a
new and very efficient method, even in the presence of noise.
- 2013-09-26 13:22:30下载
- 积分：1
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Rayleigh
Rayleigh信道的仿真及图。可直接运行产生形象的图形结果。用于各种算法前期的信道仿真。(Rayleigh channel simulation and Figure. The image can be run directly generate graphical results. Various algorithms for the pre-channel simulation.)
- 2010-03-07 21:17:12下载
- 积分：1
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CmsEasy_file_596
c est un syeteme photovoltaique autonome L_wis@live.fr
- 2012-04-28 21:48:32下载
- 积分：1
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29-math-models-for-mcm-
29个数学建模常用模型，内涵详细介绍，国赛省赛美赛常用模型(29 commonly used mathematical modeling model, content in detail, the US national tournament provincial tournament match common models)
- 2015-02-03 17:53:09下载
- 积分：1
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ga
说明： 遗传算法实现的阈值分割图像的代码，内附图片，可直接运行(Genetic algorithm for image segmentation code, containing pictures, can be directly run)
- 2011-05-08 16:07:17下载
- 积分：1
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LDA
example: 演示程序
creatData:生成数据
creatTrainLabelMat:生成数据标签
LDA:提取fisherface
knnRecognition:knn分类器
knnsearch:knn搜索(example: demo creatData: generate data creatTrainLabelMat: generating data label LDA: Extract fisherface knnRecognition: knn classifier knnsearch: knn search)
- 2013-11-20 19:05:10下载
- 积分：1
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dftfc
求解丢番图方程，数值为广义预测控制一书上的简单算例(Solving the Diophantine equation, numerical generalized predictive control of a simple example on the book)
- 2011-05-11 15:18:28下载
- 积分：1
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Linear-regression-analysis
对采集的样例数据进行回归分析，包括一元、多元和病态回归三种情况，并在一定执行概率给出置信区间和回归预测(The collected sample data, regression analysis, including a dollar return of three cases and pathological diversity, and given a certain probability of confidence intervals and perform regression)
- 2021-01-06 22:18:54下载
- 积分：1
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ELM
In theory, this algorithm tends to provide good generalization performance at extremely fast learning
speed.(The experimental results based on a few artificial and real benchmark function approximation and classification problems
including very large complex applications show that the new algorithm can produce good generalization performance in most cases and
can learn thousands of times faster than conventional popular learning algorithms for feedforward neural networks)
- 2013-03-15 10:21:39下载
- 积分：1
