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ode4
经常看到很多朋友问定步长的龙格库塔法设置问题，下面吧定步长四阶龙格库塔程序贴出来，有需要的可以看看
(Often see many of my friends ask determining step Runge-Kutta method set problem, the following step you set the fourth-order Runge-Kutta procedures paste out, there is a need to look at the)
- 2008-06-10 17:54:10下载
- 积分：1
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Untitledganse
干涉波，运行编码，3维图像，有一定借鉴价值，供参考(Interference wave, running code, 3 d image, and have certain reference value, for your reference
)
- 2014-10-20 10:30:07下载
- 积分：1
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BP
说明： 神经网络遗传算法bp网络，有关网络训练如何正确进行分类(Neural network genetic algorithm bp network, network training related to how to properly classify)
- 2014-10-25 16:43:16下载
- 积分：1
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senial_dientesierra
SEÑ AL DIENTE SIERRA GUI
- 2013-04-26 07:06:49下载
- 积分：1
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ZF
Matlab program for ZF equalization
- 2014-09-09 16:04:24下载
- 积分：1
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paper1
基于MATLAB的自相关函数基音检测的优化.pdf(Autocorrelation function of pitch detection based on MATLAB optimization. Pdf)
- 2013-12-17 20:59:03下载
- 积分：1
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singleneuraladaptivecontrol
采用有监督学习的hebb规则实现权值学习的学习，给出实际例子，单神经元自适应控制器.(Weight is realized by using supervised learning hebb rule of learning, gives a practical example, the single neuron adaptive controller.)
- 2016-12-21 15:58:18下载
- 积分：1
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booot-stream
AN IMPORTANT class of theoretical and practical
problems in communication and control is of a statistical nature.
- 2015-03-15 00:12:04下载
- 积分：1
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2dgaussian
汽车高斯曲面拟合
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2程序，以适应到表面二维高斯：
子= A *的进出口（ -（（西为X0）^2/2/sigmax^2 +（艺Y0的）^2/2/sigmay^ 2）。。）+ b的
这些例程是自动在某种意义上说，他们并不需要出发对模型参数的猜测规范。
autoGaussianSurfML（十一，彝，子）适合通过对模型参数的最大似然（最小二乘）。它首先计算了该模型在许多可能的参数值，然后选择最佳质量设置和细化与lsqcurvefit它。
autoGaussianSurfGS（十一，彝，紫）的估计，通过指定数据的贝叶斯生成模型，然后采取通过从模型吉布斯抽样样本后ofthis模型参数。这种(Auto Gaussian Surface fit
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2 routines to fit a 2D Gaussian to a surface:
zi = a*exp(-((xi-x0).^2/2/sigmax^2+ (yi-y0).^2/2/sigmay^2))+ b
The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters.
autoGaussianSurfML(xi,yi,zi) fits the model parameters through maximum likelihood(least-squares). It first evaluates the quality of the model at many possible values of the parameters then chooses the best set and refines it with lsqcurvefit.
autoGaussianSurfGS(xi,yi,zi) estimates the model parameters by specifying a Bayesian generative model for the data, then taking samples from the posterior ofthis model through Gibbs sampling. This method is insensitive to local minimain posterior and gives meaningful error bars (Bayesian confidence intervals))
- 2011-05-23 10:36:52下载
- 积分：1
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lyapunov.mdl
model reference adaptive control using lyapunov method simulation
- 2011-09-26 17:27:04下载
- 积分：1
