t4

drools activiti intergration

rls神经网络模型在matlab中的程序实现(rls neural network model in matlab program to achieve)

说明：  Unit commitment and economic load dispatch by dynamic programming

基于马尔科夫链概念，5*5矩阵的概率转移矩的matlab实现(Based on the concept of Markov chain, the realization of the 5* 5 matrix s transfer probability matrix in matlab)

matlab对EXCEL进行操作，包含xlswrite函数和xlsread函数。(matlab for EXCEL operation, including xlswrite functions and xlsread function.)

这是一个小说类型的显式过滤器形象——引导过滤器。来自当地一个线性模型,指导过滤器 生成过滤输出通过考虑的内容指导 图像,可以输入图像本身或另一个不同的形象。(This is a novel type of explicit image filter- guided filter. Derived a local linear model, the guided filter generates the filtering output by considering the content of a guidance image, which can be the input image itself or another different image.)

这是一本关于matlab求解微分方程的指导文档(This is a guide on matlab to solve differential equations documents)

利用霍夫变换，处理图像，包括广义hough变换的应用，简单快捷，计算量小(Using Hough transform, image processing, including the application of the generalized hough transform, simple and quick computation)

汽车高斯曲面拟合 --- 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 --- 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))

fft变换举例，实例分析MATLAB 中的FFT变换的使用方法，清晰明了。(fft transform example)