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Analytic-Hierarchy-Process
包含几个经典层次分析法,matlab程序及其代码(Contains several classic analytic hierarchy process, matlab program code)
- 2013-03-11 15:13:23下载
- 积分:1
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zoharby-plot_google_map-14b7d12
matlab code for zoharbyplot_google_
- 2015-02-07 14:27:45下载
- 积分:1
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LDPC-code-construction
LDPC code construction
- 2014-01-14 04:14:36下载
- 积分:1
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XOR
neural networs XOR 代码(neural networs XOR )
- 2010-06-04 17:25:47下载
- 积分:1
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houghellipse
Matlab环境下利用霍夫变换和椭圆标准公式,在二值图像上自动检测椭圆并标记。(Matlab environment using Hough transform and oval standard formula, the binary image automatically detect and mark the ellipse.)
- 2014-02-22 17:44:59下载
- 积分:1
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dtw
基于DTW的孤立词语音识别matlab源码,有音频文件(DTW-based isolated word speech recognition matlab source code, there are audio files)
- 2015-01-04 19:02:19下载
- 积分:1
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Image-Processing-Function-List-of-Matlab
Matlab图形图像处理函数详细列表,对图形图像处理非常有帮助()
- 2008-05-09 09:07:41下载
- 积分:1
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rbffunction
Matlab - Neural network RBF for function approximation.
- 2010-11-19 06:52:43下载
- 积分:1
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bpf
Band Pass Filter matlab command
- 2013-10-09 00:08:08下载
- 积分:1
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active-learning-code
Learning_random.m : 随机选择样例,从(90)pool里随机选择样本,删除版本空间树的数量
activeLearning.m:根据最大熵原则,从pool里选择样本,删除版本空间树的数量
getlabel.m:根据树和测试样例,得到根据该树得到的类标
getTrees.m:从提供的大量树结构(随机生成的)中,随机挑选一定数量的树(如果该树的叶子节点无类标随机添加)
RandomCreateTree_d_unbalance:根据样本点割点中的非平衡割点建造树,
RandomCreateTree_d_all.m:根据所有样本点的割点建造树
randomdata.m:给定属性取值,造数据
randomselect.m:从数据中随机选择一部分作为
showTree.m:显示树的结构
test.m:给出树,测试样例,得到正确率(Learning_random.m: randomly selected sample, randomly selected sample from (90) pool the The deleted version space tree quantity activeLearning.m: selecting a sample from the pool based on the principle of maximum entropy, delete the number of version space tree getlabel.m: According to the tree and the test sample obtained according to the class standard getTrees.m the tree: from the tree structure (randomly generated), randomly selected a certain number of trees (the leaves of the tree node class marked randomly adding ) RandomCreateTree_d_unbalance: According to the sample point cut point unbalanced cut point construction tree, RandomCreateTree_d_all.m: construction of the tree randomdata.m all sample points cut point: given the value of the property, manufacturing data randomselect.m: random data Select as part showTree.m: tree structure test.m: tree, the test sample is given to get the correct rate)
- 2012-10-10 22:33:44下载
- 积分:1