Matlab6

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. )

Hammerstein_Wiener模型最小二乘向量机辨识及其应用 EI文章(Hammerstein_Wiener model identification and application of least squares vector machines EI article)

光器件所用F-P腔的matlab模拟资料(FP cavity optical devices used in the matlab simulation data)

implement basic routines in Matlab and Octave (currently using Matlab R13) for simulating adaptive beamforming and filtering for antenna arrays.

说明：  利用FDTD方法模拟普通光子晶体光纤中模场变化的情况，为主程序，可以为学习FDTD模拟PCF的学习者提供一定参考和学习。(Ordinary FDTD simulation using photonic crystal fiber mode field changes in the situation, the main program, you can learn from FDTD simulation for the PCF to provide a reference of learners and learning.)

Auction jacobi solver for MAtlab. Based on a paper

code for data preproccess in 3 steps :Swap lines with missing value NaN, zscore Normalization, Standardization process

用matlab对两组数据进行了曲线拟合,得出了拟合曲线和公式(failed to translate AA AAA AA)

疲劳设计中周期循环对称的算法，程序中使用了全局变量的传递和反迭代的算法，有一定的借鉴意义。(symmetric cyclic stress life method)

基于分段非线性权重值的Pso算法，GPS和INS组合导航程序，比较了软阈值，硬阈值及当今各种阈值计算方法。( Based on piecewise nonlinear weight value Pso algorithm, GPS and INS navigation program, Comparison of soft threshold and hard threshold and today various threshold calculation method.)