datamining[1].rar___zzjiang10820075281058042581

使用matlab程序编写的ACO算法过程，适合初学者(Use of matlab programming process of the ACO algorithms, suitable for beginners)

jacobi算法，看看能用不，我测试是能用的，希望大家也能用上！(jacobi algorithm, can not see, I can test, and I hope we all can be on!)

matlab时频分析工具箱，时频分析工具箱包括短时傅立叶变换和二次型时频分析以及各种时频分析的matlab代码(The Time-Frequency Toolbox (TFTB) is a collection of about 100 scripts for GNU Octave and Matlab (R) developed for the analysis of non-stationary signals using time-frequency distributions. It is primary intended for researchers and engineers with some basic knowledge in signal processing.)

卡拉曼+强跟踪+自适应滤波算法应用于汽车做二维运动(Karaman+ strong track+ adaptive filtering algorithm used in the car to do the two-dimensional movement)

任意波形源的pwm信号生成电路控制桥式结构 其中上面是双极式调制pwm考虑了上下桥臂不能同时开通（加了延迟）；下面是受限单极式调制pwm信号发生器(Pwm arbitrary waveform signal generating circuit bridge structure wherein the control source is a bipolar modulator pwm at the upper and lower arms can be considered simultaneously opened (with delay) following is limited single modulator pwm signal generator)

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. )

Takagi-Sugeno fuzzy models are based on the concept of fuzzy coding of information and operating with fuzzy sets instead of numbers

该算法程序包含拉格朗日插值和样条插值等多个功能。(The algorithm contains multiple functions Lagrange interpolation and spline interpolation.)

神经pid控制 挺好的 从书上打下来的 可以用的啊(nnpidcontrol)

使用matlab编写的PID控制仿真程序(Prepared using matlab simulation program PID control)