UnitCommitment-Lagrange

matlab/GUI开发，实现文件浏览功能。(matlab/GUI development, implementation file browsing capabilities.)

Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */

THis ia a program to find shortest path.it is implemented in matlab

说明：  He-Chen-Zhang多相流LBM模型 《Multiphase Lattice Boltzmann Methods Theory and Application》书后代码(Multiphase Lattice Boltzmann Methods Theory and Application)

In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. (In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar-xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. )

matlab教程，有些还是很有用的，看看吧(matlab tutorials, some are very useful to see it)

These are some code for direct sequence spread spectrum system using different methods which can be used for DSSS signal interception.

说明：  这是个基于matlab环境下，提取mfcc参数的小程序，希望能对大家有帮助。(This is a matlab-based environment, the applet parameter extraction mfcc, hoping to be helpful.)

遗传算法工具箱 给出遗传算法中所有能用到的所有函数，给使用者带来方便。(Genetic Algorithm Toolbox Genetic Algorithm give all to all the functions can be used to bring convenience to users.)

For computing the BER for BPSK modulation in a Rayleigh fading channel with selection diversity.