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MRC
maximum ratio combining
- 2009-05-12 10:49:59下载
- 积分:1
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bag_words_demo
Graphic Detection and Recognition using Bag-of-word method, finding feature vector with K-means classifier, training or testing data with Naive Bayes Classifier or PLCA method.
- 2012-06-24 07:04:57下载
- 积分:1
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classify
包含用lms、mse、perceptron准则函数的二类分类器(Includes use of lms, mse, perceptron criterion function of the second-class classifier)
- 2008-04-24 13:14:06下载
- 积分:1
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ccfx
层次分析法matlab代码;在网上找到了一些好用的层次分析法的代码,挺好用的!(AHP matlab code the Internet to find some useful analytic hierarchy code, very good use!)
- 2013-09-09 14:50:19下载
- 积分:1
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signals
generating all types of signals matlab source code
- 2010-07-11 12:46:38下载
- 积分:1
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jill1
jille model The performance of the method is evaluated by experimental data. Jiles-Atherton model with five parameters describes the hysteresis behavior of ferromagnetic materials.
- 2013-01-29 21:50:14下载
- 积分:1
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nsa
人工免疫系统中的阴性选择算法,适合于初学者(Artificial immune system, negative selection algorithm, suitable for beginners)
- 2011-10-18 11:17:36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
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kalman_filter_Simu
数值的kalman滤波程序,绝对完整。完全(Values kalman filtering process, absolute integrity. Completely)
- 2007-09-13 23:20:45下载
- 积分:1
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复杂网络三大基本模型
说明: 复杂网络三大基本模型,包含matlab源码(Three basic models of complex networks, including Matlab source code)
- 2019-04-26 21:58:54下载
- 积分:1