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project2
Finite Difference Method for Poisson equation.
-Δu =f(x,y) in Ω
u(x,y)=0 on Γ
- 2009-12-15 20:18:26下载
- 积分：1
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BP
说明： 神经网络的MATLAB源程序神经网络的MATLAB源程序神经网络的MATLAB源程序(MATLAB source neural network neural network neural network MATLAB MATLAB source code source code)
- 2010-05-26 19:56:16下载
- 积分：1
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K-means
K均值算法，适合于初学者。包括matlab源代码，测试数据等。(K-means algorithm)
- 2012-10-18 10:15:25下载
- 积分：1
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SINSmatalb
捷联惯导SINS静态仿真 matalb
关于四元数法捷联惯导解算算法的matlab程序组合包，其中包括滤波初始对准仿真，罗经法初始对准仿真，捷联惯导解算仿真，组合卡尔曼滤波等演示程序及其必需的参数矩阵转换程序.(SINS SINS static simulation matalb on quaternion SINS algorithm matlab program solver combination package that includes filtering the initial alignment simulation, simulation of the initial alignment compass France, SINS solver simulation, combined Kalman filtering demo program and its required parameter matrix conversion process.)
- 2013-08-21 17:31:11下载
- 积分：1
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bootgmregress
自举是一种由重采样估计，独立和（蒙特卡洛重采样）等概率设置一个单一的数据统计变化的一个途径。允许的措施估计那里的潜在分布是未知的或者样本量很小。他们的结果与这些分析方法的统计特性相一致。
在这里，我们使用非参数逼近。非参数引导更简单。它不使用该模型的结构，建造人工数据。矢量[易西]是重采样，而不是直接与replecement。这些参数是从这些对构建。
二，回归模型时，应使用在回归方程中的两个变量是随机的，会有错误的，即不是由研究者控制。模式，我用普通最小二乘回归低估了变量之间的错误时，他们都含有线性关系的斜率。据索卡尔和罗尔夫（1995），模型二回归的主题是一对哪些研究和争论仍在继续，最终建议是很难做出。
BOOTGMREGRESS模型II是一个引导程序。这需要s引导和规范样品前坡计算变量。这两个变量的每个转化为具有零均值和标准差的一个。由此产生的斜率是线性回归系数的Y在X里克创造了这个词（1973）几何平均数并给出了一个模型II回归广泛审查。它也被称为引导标准的主要轴线(The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their results are consistent with the statistical properties of those analytical methods.
Here, we use the Non-parametric Bootstrap. Non-parametric bootstrap is simpler. It does not use the structure of the model to construct artificial data. The vector [yi, xi] is instead directly resampled with replecement. The parameters are constructed from these pairs.
Model II regression should be used when the two variables in the regression equation are random and subject to error, i.e. not controlled by the researcher. Model I regression using ordinary least squares underestimates the slope of the linear relationship between the variables when they both contain error. According to Sokal and Rohlf (1995), t)
- 2011-05-21 13:19:38下载
- 积分：1
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count
counts command line arguments
- 2012-08-05 16:01:39下载
- 积分：1
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Archive
4) 创建一个名为Complex的类，进行复数的算术运算。复数的形式为：
realpart+imaginarypart*i
用浮点变量表示类的private数据。提供构造函数，能够对所声明的该类对象进行初始化。在不提供初始化值的情况下，该构造函数应包含默认值。针对以下功能，分别提供一个public成员函数。
（1）两个复数相加；
（2）两个复数相减
（3）用（a, b）的形式打印复数，其中a为实部，b为虚部。
(4) Create a class called Complex, and perform complex arithmetic operations. Plural form: realpart+imaginarypart* i said private data class with floating point variables. Provide a constructor, the object can be declared for the class is initialized. In the case do not provide initialization values, the constructor should contain default values. For the following functions, which provide a public member function. (A) two complex numbers (2) the subtraction of two complex (3) (a, b) in the form of plural printing, where a is the real part, b is the imaginary part.)
- 2013-12-18 15:14:46下载
- 积分：1
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interpretation
bouckground substruction
- 2011-01-14 05:58:45下载
- 积分：1
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rbf_msatlab
matlab radial based network using image processing algorithms
- 2013-05-07 22:34:32下载
- 积分：1
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MLS
说明： MLS论文 关于MLs的论文 有推导过程 可以参考(MLS thesis paper on the MLs can refer to a derivation)
- 2011-03-09 05:35:38下载
- 积分：1
