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presureofthecentralline
这是一个仿真圆形超声波探头所发射的超声场在中轴线上的声压分布图。(This is a circular ultrasonic probe ultrasonic field in the central axis of the emitted sound pressure distribution of a simulation.)
- 2020-07-01 02:40:01下载
- 积分:1
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487403176NMPC
说明: 非线性模型的预测控制,具有非常好的控制效果(Nonlinear model predictive control with very good control effect)
- 2020-01-08 14:53:27下载
- 积分:1
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CRC_encode_decode
这是一个matlab编写的CRC冗余校验编解码程序,里面采用了美国通用的16位CRC交验多项式,(This is a matlab prepared codec CRC redundancy check procedure, which uses the U.S. General inspection of the 16-bit CRC polynomial,)
- 2007-12-26 10:29:04下载
- 积分:1
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power-elctronics
POWER ELECTRONICS FOR INDUSTRIAL APPLICATIONS
- 2012-05-29 19:47:02下载
- 积分:1
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elm
极限学习机分类与拟合,训练采用elmtrain.m,分类与拟合用elmprediction.m.(Extreme Learning Machine classification and fitting)
- 2021-01-12 19:28:49下载
- 积分:1
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ThreePhaseModel
three-phase model of induction motor
- 2013-12-16 02:37:31下载
- 积分:1
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VSR100104new
说明: matlab对VSR控制器的模拟仿真,对控制系统的运行特性具有很强的稳定功效,该仿真模型采用SVPWM控制电路(matlab simulation of the PWM controller for controlling operation of the system characteristics have a strong effect the stability of the simulation model uses the SVPWM control circuit)
- 2010-03-24 14:31:38下载
- 积分:1
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TestFunction
说明: 一些用matlab编制的智能优化算法的的测试函数程序(Some prepared to use matlab Intelligent Optimization Algorithm function test procedures)
- 2008-11-12 13:09:16下载
- 积分:1
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910
说明: 思源科技出版 matlab基础与提高 9-10章 源代码(Si Yuan Foundation and enhance the scientific publishing matlab source code chapter 9-10)
- 2010-04-24 11:57:28下载
- 积分:1
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spam-classification--matlab
机器学习中的垃圾邮件分类程序,用matlab做的。从以下链接下载垃圾邮件数据(spam data):(数据已下载,放在spambase.zip)
http://www-stat.stanford.edu/~tibs/ElemStatLearn/index.html
该数据包含57个邮件信息相关的变量,每条邮件可以被分类为垃圾邮件(Y=1)和非垃圾邮件(Y=0)。输出Y的值在文件中每一列的末尾。练习的目标是要预测电子邮件是否为垃圾邮件。
(Machine Learning spam classification procedures, using matlab to do. Data (spam data) from the following link to download the junk mail: (data has been downloaded, put spambase.zip) http://www-stat.stanford.edu/ ~ tibs/ElemStatLearn/index.html The data includes 57 e-mail messages related variables, each message can be classified as spam (Y = 1) and non-spam (Y = 0). Y value of the output end of each column in the file. The goal is to predict exercise email is spam.)
- 2020-12-15 21:29:16下载
- 积分:1