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learningprogrammingusingMatlab
learning programming using matlab is for anyone trying to learn the fundamentals of computer program. it s english version
- 2009-12-17 07:28:52下载
- 积分：1
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fenleiPGG
基于灰度梯度最大熵的分割方法，先通过聚类进行改进做初分割然后再进行细分割。(Segmentation of gray gradient based on maximum entropy, first through the clustering is improved. At first, then the fine segmentation segmentation.)
- 2013-12-14 14:37:42下载
- 积分：1
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a
说明： 缴费点选址问题，是数模中的热点，可以通过对最短路程、居民满意度、排队等待时间综合考虑，得到较为全面合理的结果(Payment point location problem is one of several modes in the hot, can by the shortest distance, residents satisfaction, waiting time into account, to be more comprehensive and rational results)
- 2011-06-26 15:30:59下载
- 积分：1
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radar
二进制相位编码脉冲、方形编码脉冲等信号的脉冲压缩处理matlab示例(Pulse Compression for different kind of signals such as binary phase coded pulse and square coded pulse.)
- 2017-09-22 10:04:20下载
- 积分：1
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gsf_matlab_plotting
basics of plotting in matlab
- 2014-10-15 12:35:44下载
- 积分：1
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filtro-paso-alto-butterworth-P40db
este es un fitro butterwor muy conveniente para el uso en ingenieria electronica y mas aplicaciones
- 2011-12-07 23:42:39下载
- 积分：1
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dijkstra
code dijkstra in matlab
- 2012-11-17 21:00:32下载
- 积分：1
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gaot
传统遗传算法、改进遗传算法、在神经网络建模中应用(Traditional genetic algorithm, improved genetic algorithms, neural network modeling applications)
- 2014-02-19 15:19:08下载
- 积分：1
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dianliuchadong
关于输电线路电流差动保护的编程实现，使用了simulink的方式进行建模分析(Transmission line current differential protection)
- 2014-06-05 08:42:02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
