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SDeconv
This MATLAB code performs image deconvolution.
- 2009-12-22 20:37:32下载
- 积分：1
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fdtd2D
计算电磁学中FDTD（有限时域差分法）二维的算法程序。(FDTD (finite difference time domain method) two-dimensional algorithm program in computational electromagnetics.)
- 2012-03-22 23:02:07下载
- 积分：1
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numerical
numerical code for matlab
analytical
bisec
differentiation
F
FALSEPOS
fixedpoint
- 2013-09-04 02:29:02下载
- 积分：1
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tfpf
对时频峰值地震噪声的滤波及对实际信号的处理、(Time-frequency seismic noise on the peak of the actual signal filtering and processing,)
- 2011-10-20 09:12:01下载
- 积分：1
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fmrlc_tanker
船舶航向的控制，一个比较实用的程序，可以仿真运行(chuan bo hang xiang de kong zhi)
- 2020-06-29 07:40:01下载
- 积分：1
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soble_hough
索伯尔-霍夫变换，matlab程序，用于检测图片中圆形的一个程序，相对比较简单。
(soble- hoff transform, matlab, used to detect a program pictures in circular, is relatively simple.)
- 2011-04-20 14:55:29下载
- 积分：1
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SIFT_YantaoNoemie
MATLAB关于图像配准的，包括图像的关键点筛选和配准的效果展示。(MATLAB on image registration, including the image of the key points of the effect of screening and registration display.)
- 2014-08-06 10:08:31下载
- 积分：1
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MPSK2
mpsk的matlab仿真实现 ,供初学者使用参考(MPSK Simulation of matlab for beginners to use reference)
- 2008-12-28 16:58:53下载
- 积分：1
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bianwei10_m
自己编写的matlab中编辑个人模块的S-函数方法，通过这个模块可以实现输入信号变为原来的10倍(Imagecut.rar matlab edit personal module function method of S- this module can be realized by the input signal into a 10 times
)
- 2011-06-03 16:48:11下载
- 积分：1
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a
说明： 决策树(Decision Tree）是在已知各种情况发生概率的基础上，通过构成决策树来求取净现值的期望值大于等于零的概率，评价项目风险，判断其可行性的决策分析方法，是直观运用概率分析的一种图解法。由于这种决策分支画成图形很像一棵树的枝干，故称决策树。在机器学习中，决策树是一个预测模型，他代表的是对象属性与对象值之间的一种映射关系。Entropy = 系统的凌乱程度，使用算法ID3, C4.5和C5.0生成树算法使用熵。这一度量是基于信息学理论中熵的概念。
决策树是一种树形结构，其中每个内部节点表示一个属性上的测试，每个分支代表一个测试输出，每个叶节点代表一种类别。
分类树（决策树）是一种十分常用的分类方法。它是一种监督学习，所谓监督学习就是给定一堆样本，每个样本都有一组属性和一个类别，这些类别是事先确定的，那么通过学习得到一个分类器，这个分类器能够对新出现的对象给出正确的分类。这样的机器学习就被称之为监督学习。(Decision tree is a decision analysis method based on the known probability of occurrence of various situations, which can calculate the probability that the expected value of net present value is greater than or equal to zero, evaluate the project risk and judge its feasibility by constructing a decision tree. It is a graphic method of intuitively using probability analysis. Because this kind of decision branch is drawn as a graph, it is very similar to the branch of a tree, so it is called decision tree. In machine learning, decision tree is a prediction model, which represents a mapping relationship between object attributes and object values. Entropy = the disorder degree of the system, using algorithms ID3, C4.5 and C5.0, spanning tree algorithm using entropy. This measure is based on the concept of entropy in information theory.)
- 2021-02-01 15:02:09下载
- 积分：1
