fem1d_spectral_numeric

This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters. (This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar-xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters. )

蚁群算法 matlab程序（已运行），有源代码，和详细的说明文件，matlab仿真的数据及参数输入的值都一给定好。学习蚁群算法的最好的代码了。(Ant colony algorithm matlab program (already running), active code, and detailed documentation, matlab simulation data and parameter input values are a given good. Ant colony algorithm to learn the best code.)

making jacobian matrix

简单经典的潮流计算程序 适合初学者理清潮流计算的编程思路(Simple classic flow calculation procedures, suitable for beginners to sort out programming ideas flow calculation)

In wireless sensor network, residual energy of node is very important criteria. Life of wireless sensor network depend the energy of node. In most of the application, the nodes are battery operated. So it is very important to select the parameters like nodes deployment in network, size of packet, etc. In work,analyze node’s energy with respect to packet size, distance, time and also how much data can be transmitted. And finally we will conclude for the effective value of these parameters.

fuzzy logic control of speed DC Motor

　　非晶态硅Forouhi-Bloomer模型参数拟合计算 　　半导体材料对光的吸收作用用k表示。材料的k一般都会随着入射光的波长的改变而改变。其变化规律因材料而异，但是对于同一类型的材料常可以用一种模型来表示。但是对于特定的材料，其模型参数的确定常的通过曲线拟合的方法得到的。 　　题目： 　　对于非晶态的硅，其K满足如下模型： 　　 　　其中A、B、C为系数，且均大于零，并满足4C-B2>0 Eg为禁带宽度，值为1.3 ev , E为能量。 　　现已知一组E对应的K值，通过曲线拟合的方法求出A,B,C。(Curve fitting)

说明：  本设计为基于MATLAB特征点匹配的指纹识别系统。带有一个GUI界面。主要对指纹图像进行三方面处理：图像预处理、特征提取和特征匹配。图像预处理包括四个步骤：图像分割、滤波增强、二值化、细化，对指纹图像进行预处理后，去除了原图像的冗余部分，方便后续的识别处理；特征提取主要是提取指纹图像细化后的端点和分叉点；特征匹配是利用两个指纹的图像进行特征点比较，来确定两幅图像是否来自于同一手指。(This design is a fingerprint recognition system based on MATLAB feature point matching. With a GUI interface. Fingerprint image is mainly processed in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image segmentation, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed to facilitate the subsequent identification processing; feature extraction is mainly to extract the refined endpoint and bifurcation point of fingerprint image; feature matching is to determine the two images by comparing the feature points of two fingerprint images Is it from the same finger.)

用MATLAB绘制地震数据记录的源代码，可帮助地球物理专业的学生利用MATLAB快速学会绘制地震记录。(plots seismic traces in matlab)

实现小波变换，对实采数据进行进行处理，挖掘数据特征(Wavelet transform of real data mining processing, data mining feature)