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PV_MPPT414_INC_2
采用电导增量法的光伏系统最大功率点跟踪matlab/simulink仿真,可正确运行,可自行修改光照强度和环境温度(Incremental conductance method using the maximum power point tracking photovoltaic systems matlab/simulink simulation can be run correctly, you can modify the light intensity and ambient temperature)
- 2013-09-21 10:06:34下载
- 积分:1
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2dfem
二维 有限元 三角形 插值积分 很不错(Dimensional finite element triangle Quadratures very good)
- 2014-12-17 10:59:08下载
- 积分:1
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monte_carlo
Monte carlo simulation
- 2013-04-10 23:49:21下载
- 积分:1
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dvr-
DVR- suitable for beginners with matlab mdl
- 2013-12-04 02:09:13下载
- 积分:1
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tracking_Random_Accelerate
WSN目标跟踪的二项式拟合预测方法,基于目标运动具有随机加速度的模型(mobile targets tracking in WSN)
- 2012-01-07 09:31:40下载
- 积分:1
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bpskk
用systerm generation完成BPSK的调制解调过程,这里原理简单易懂,程序来自一本日本书。(Systerm generation with the completion of the BPSK modulation and demodulation process, here the principle of easy-to-read, the program comes from a Japanese book.)
- 2008-05-17 15:00:02下载
- 积分:1
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OFDM_MATLAB
说明: 关于ofdm建模的Matlab程序,可以实现ofdm系统性能仿真(Matlab on ofdm modeling procedures, system performance can be achieved simulation ofdm)
- 2009-08-21 15:11:26下载
- 积分:1
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q_tanks_1_simulink
藕联水罐的pi前馈控制 matlab源程序 simulink(coupled tanks pi control matlab simulink)
- 2012-03-23 20:51:54下载
- 积分:1
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MATLABtutorial
傻瓜型matlab教程,手把手教你使用matlab。
(Fool matlab tutorial taught you how to use matlab.)
- 2013-10-08 17:29:29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