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annMatlab7p3
说明: 神经网络与matlab7的实现
配套资料下载
.m格式(neural network and the realization matlab7 supporting information downloaded. M format)
- 2006-04-15 00:51:05下载
- 积分:1
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matlab-am-fm-pm
几种模拟调制的matlab实现
am,fm,pm
matlab7.0以上版本才可看(Several analog modulation matlab realize am, fm, pmmatlab7.0 can see above)
- 2008-04-13 12:07:03下载
- 积分:1
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speedfeedback2
速度反馈异步感应电机调速系统的matlab仿真模型,mdl文件(Velocity feedback asynchronous induction motor speed control system of the matlab simulation model, mdl file)
- 2009-11-12 21:08:38下载
- 积分:1
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Matalab
常见滤波器Matalab程序,设计高通滤波器
,设计低通滤波器
(Common filter Matalab procedures, design of high-pass filter, low pass filter design)
- 2010-12-12 16:02:59下载
- 积分:1
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Matlab-PSO-is-applied-to-neuralnet
粒子群优化算法(PSO)应用于神经网络优化程序。分为无隐含层、一隐含层、二隐含层。运行DemoTrainPSO.m即可(Particle Swarm Optimization (PSO) used neural network optimization program. Divided into no hidden layer, a hidden layer, two hidden layers. You can run DemoTrainPSO.m)
- 2013-07-17 19:30:26下载
- 积分:1
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drawingMeshify
for fem matlab for solving all 2D and 3D problem
- 2013-04-05 18:44:10下载
- 积分:1
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33-node-test
33节点测试:计算联络线转供方案;负荷点损失风险计算;过电流风险计算(33 node test: contact wire transfer for computing program load point risk of loss calculation overcurrent calculated risk)
- 2021-03-22 11:29:16下载
- 积分:1
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ofdmtransmission
A DVB-T 2K Transmission simulation of OFDM
- 2009-03-10 21:13:50下载
- 积分:1
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work
matlab 关于association rule 的自己写的函数,有3个文件,
association.m:h = association(m, i, j)
i=>j, m是数据,h是support和confidence,该函数只适用于单个数据
ass_item: h=ass_itset(m, a, b)
同上,但是可用于多个数据(m为数组)
assrule: h = assrule(m, threshold1, threshold2)
该函数用于classification, 得到规则,threshold1为要求的support,threshold2为要求的confidence,h 则为符合要求的规则及其support和confidence,前2列为规则,后2列为其support和confidence
(matlab on the association rule to write functions, there are 3 files, association.m: h = association (m, i, j) i => j, m is the data, h is the support and confidence, this function applies only to a single Data
ass_item: h = ass_itset (m, a, b) it is the same as above, but it can be used for multiple data (m can be matrix)
assrule: h = assrule (m, threshold1, threshold2) the function used for classification,get the rules, threshold1 is the require of support, threshold2 is the required of confidence, h is the rules and their support and confidence, the former two columns as a rule, the latter two columns as one of its support and confidence)
- 2009-12-15 02:51:44下载
- 积分:1
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Simulation-Matlab
matlab simulation for TL and cable
- 2013-10-30 03:28:11下载
- 积分:1