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chapter5_45
这是模式分类一书中第五章的固定增量感知器和带裕量的变增量感知器的matlab代码实现。(This is the pattern classification of a book chapter V and the fixed-increment perceptron with margin perceptron incremental change of the matlab code.)
- 2009-04-29 16:50:22下载
- 积分：1
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main
make the simple game of life.
it only uses 50 X 50 size of point and time limited system.
- 2010-02-10 16:11:28下载
- 积分：1
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givenhousehold
说明： 利用该程序可计算任意对称矩阵M，给出区间(a,b)上的特征值个数(Calculated using this program any symmetric matrix M, gives the interval (a, b) on the eigenvalues)
- 2011-03-18 20:48:55下载
- 积分：1
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zishiyin11shiyan
用自适应的方法对传统DNA算法的几个操作概率进行动态赋值，从而达到改进的效果(Dynamic assignment of several operating probability of traditional DNA algorithm using an adaptive method to achieve improved results)
- 2012-04-28 22:28:47下载
- 积分：1
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Noise-Cancellation
A good Code for Wiener filter.. Tested Ok!
- 2015-04-21 21:29:25下载
- 积分：1
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FFT
傅里叶变换功能的实现，虽然是非常见得的频率成分，但是还是实现了基本的傅里叶变换功能，并不是matlab自带的fft函数。实现了频谱分析可视化。(Fourier transform function, although it is very frequency components appear, but still achieve the basic function of the Fourier transform, comes not matlab fft function. Achieve a spectral analysis visualization.)
- 2016-05-10 20:33:06下载
- 积分：1
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zuidasiran
信号处理中参数最大似然估计的仿真程序设计(Maximum likelihood parameter estimation simulation)
- 2011-06-12 09:00:37下载
- 积分：1
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PSO-LVXINGSHANGMATLAB
PSOMATLAB
Department of Computer Science, Sun Yat-sen University,
No.135, Xingang West Road, Guangzhou 510275, P.R. China.This is a problem about pso to matlab.(Department of Computer Science, Sun Yat-sen University,
No.135, Xingang West Road, Guangzhou 510275, P.R. China.This is a problem about pso to matlab.
)
- 2013-04-15 11:52:49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
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opt_2
上海交通大学最优化练习题2，复习考试必备习题(Shanghai Jiaotong University, 2 optimization exercises, review exercises necessary tests)
- 2010-12-01 21:04:44下载
- 积分：1
