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LinearregressionmodelparameterswithMATLAB

于 2010-06-20 发布 文件大小:306KB
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  用MATLAB回归非线性模型参数,用MATLAB回归非线性模型参数(Linear regression model parameters with MATLAB)

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用MATLAB 回归非线性模型参数.pdf,328370,2009-09-21

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  • M
    说明:  自己的一点小资料,很乱,设计一些例子,svm的,之类的(Little information, messy, design examples, svm, like the)
    2013-04-11 20:48:13下载
    积分:1
  • yaojiushengzhaosheng
    自己做的研究生招生系统,增加了学校之间的比较功能,图标显示,分数线预测等(Own graduate admissions system, increases the comparison function between schools, icons, score prediction)
    2013-12-01 16:01:19下载
    积分:1
  • PWM
    自己所搭的模型,适应于电力系统pwm等进行参考,完全可运行且性能良好。(Take their own models to adapt to make reference to the direction of the power system, the model is fully operational and performance is good, I hope you will support.)
    2015-04-04 16:32:24下载
    积分:1
  • Assignment-1
    Processing of Image Files by: using Photoshop to crop images. Then, use MATLAB to: Convert images into a transformed domain and Design 2D filters for further analysis.
    2014-02-12 16:59:08下载
    积分:1
  • simplifiedrbmusic
    本程序对于圆阵列的DOA估计空间平滑算法,可以很好的估计出角度的到达方向(This procedure for the circular array of DOA estimate spatial smoothing algorithm, can be very good to estimate the direction of arrival angles)
    2009-03-25 10:14:51下载
    积分:1
  • __
    说明:  mdfkgfrevfieogmte lvtmpbmtrp "gteympvftr tg (jnoirenmtgoljvbe /fjrmpgjpg)
    2009-12-18 09:03:04下载
    积分:1
  • fire
    matlab经典,助你成为matlab大人,希望对你有用(cellular automation)
    2013-02-02 18:53:21下载
    积分:1
  • Boost
    基于BOOST斩波电路的MTALAB仿真,仿真结果正确,开关电源设计必备仿真(BOOST chopper MTALAB based simulation, simulation results are correct, switching power supply design must Simulation)
    2013-10-08 10:25:47下载
    积分:1
  • pde
    偏微分方程组的求解,使用偏微分代码直接求解。(Solving partial differential equations, using partial differential code directly solved.)
    2010-12-21 16:58:29下载
    积分:1
  • nueralNetwork
    It is demonstrated that neural networks can be used effectively for the identification and control of nonlinear dynamical systems. The emphasis is on models for both identification and control. Static and dynamic backpropagation methods for the adjustment of parameters are discussed. In the models that are introduced, multilayer and recurrent networks are interconnected in novel configurations, and hence there is a real need to study them in a unified fashion. Simulation results reveal that the identification and adaptive control schemes suggested are practically feasible. Basic concepts and definitions are introduced throughout, and theoretical questions that have to be addressed are also described
    2013-08-07 18:58:45下载
    积分:1
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