AHP-MATLAB

AHP法代码，可以自动检验一致性，开发环境为matlab(AHP method code, can automatically check the consistency, the development environment for matlab)

用于解决机器学习中分类问题，里面包含python，matlab和octave的接口及示例。(LIBLINEAR is a simple package for solving large-scale regularized linear classification.)

区分基因序列的外显子和内含子并找出区分外显子和内含子的阈值(Distinguish gene sequence exons and introns and exons and identify distinguishing threshold intron)

该程序对于重力异常的数据可以进行导数换算，对于重力数据处理有很大的用处。(The procedure for the gravity anomaly data can be derivative conversion, is very useful for processing gravity data.)

Running test programming

说明：  利用matlab寫的 level set 去雜訊(Use of matlab write to the noise level set)

Modeling of Energy Consumption of Zigbee Devices in Matlab Tool

可逆跳跃马尔科夫蒙特卡洛贝叶斯模型选择，主要用于神经网络(Reversible Jump MCMC Bayesian Model Selection This demo demonstrates 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.)

该代码是粒子滤波实现弱小目标的检测前跟踪。(The code is particle filter to implementation the weak target track before detection.)

说明：  模糊数学中的波达排序，还有模糊聚类分析的MATLAB源代码(Borda sort,Fuzzy Cluster Analysis)