simulink 魔术轮胎模型

Function ACEPS - AR cepstra computation. Usage: c=aceps(frame[,p,cp,wlen]) (frame - vector of processed signal)

BA模型是对无尺度网络的一个比较准确的描述，对于研究许多真实的复杂系统有非常的大的帮助，该资源利用M-文件编程，仿真了BA模型的一些特性，非常不错

TUTORIAL ON MATLAB GUI FOR BIGENERS AND EXPEST VERY SIMPLE AND EFFECTIVE WAY TO LEARN MATLAB SIMULINK AND GUI MATLAB

this file contains image registration concept matlap coding.. if anyone interest to do in this field ..please refer this

说明：  采用谢菲尔德大学遗传算法工具箱求解五参数多项式最大值、最小值的程序，亲测可靠有效、能运行。(The program of solving the maximum and minimum values of five-parameter polynomials by using the genetic algorithm toolbox of Sheffield University is reliable, effective and operational.)

验证可用，模式识别中的bayes判别分析算法，借鉴了主成分分析算法（PCA），一种流形学习算法（很好用），本科毕设要求参见标准测试模型，IDW距离反比加权方法。

usefull to learn graphs in matlab

通过对集成误差公式的理论分析，提出了一种能主动引导个体网络进行差异性学习的集成网络学习算法。该方法通过对集成误差的分解，使个体网络的训练准则函数中包含个体网络误差相关度的因素，并通过协同训练，引导个体网络进行差异性学习。该方法在基于油气分析的变压器故障诊断的实验结果表明，该方法的故障诊断准确率优于传统的三比值法与BP神经网络，其性能也比经典的集成方法Bagging和Boosting方法更稳定可靠。(A learning algorithm is proposed in this paper by analyzing the error function of neural network ensembles, in which individual neural networks are actively guided to learn diversity. By decomposing the ensemble error function, error correlation terms are included in the learning criterion function of individual networks. And all the individual networks in the ensemble are leaded to learn diversity through cooperative training. The method is applied in fault diagnosis of power transformer based on Dissolved Gas Analysis. Experiment results show that, the algorithm has higher accuracy than IEC method and BP network. And the performance is more stable than conventional ensemble method, i.e., Bagging and Boosting. )

cliping and filteing technique in papar reduction

遗传算法解决作业车间调度问题，,这一M文件计算工序的加工顺序与加工时间(Genetic algorithms to solve the job shop scheduling problem,, the M-file to calculate the value of the objective function.)