IIRlunwencailiao

说明：  遗传算法在优化路径中的应用研究，MATLAB程序。

现代数字信号处理 AR（p）模型 matlab程序(ADSP AR(p) model，MATLAB)

IBMde股票图形示例，，含数据有布林线，平均移动线 (IBMde stock graphic example, with data Bollinger Bands, Moving Average Line)

通信网实验报告 用MATLAB实现话务量的计算(Communication network traffic using MATLAB realize the calculation)

照书上写的一个小程序，已经测试过没有问题(According to the book written by a small program, no problem has been tested)

素数的判定，miller-rabin，sol-str,leman,fermat等。都可以运行，下完自后自己稍微改改就可以用。(Primes judgment, miller-rabin, sol-str, leman, fermat so on. Can run is finished after their own little changed since it can be used.)

artificial intelligence

这个同样是利用matlab编程，结合matlab遗传算法工具箱来实现遗传算法的功能(Matlab this is to use the same programming, combined with genetic algorithm matlab genetic algorithm toolbox to achieve the function of)

说明：  按FPE定阶的 源程序：fpe.cpp M序列：M序列.txt 白噪声：Gauss.txt 程序中先用依模型阶次递推算法估计模型的参数，再用fpe方法判断模型的阶次。 程序运行结果如下： n: 1 判断阶次FPE的值: 0.0096406 -0.481665 1.07868 n: 2 判断阶次FPE的值: 0.00875755 -0.446739 0.00498181 1.07791 0.0527289 n: 3 判断阶次FPE的值: 0.0087098 -0.459433 0.120972 -0.0569228 1.07814 0.0390757 0.116982 n: 4 判断阶次FPE的值: 0.000396884 -0.509677 0.4501 -0.200906 0.0656188 1.07991 -0.0156362 0.442989 0.0497236 n: 5 判断阶次FPE的值: 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771 n: 6 判断阶次FPE的值: 3.23349e-007 -1.14659 0.76933 -0.487651 0.329676 -0.10377 -0.00440907 1.07999 -0.703574 0.447253 -0.235282 0.113587 0.00479688 从以上结果可以看出，当n=5时，fpe值最小，所以这时的模型阶次和参数估计值为最优结果： 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771(err)

基于灰色预测模型对旅游人数的预测matlab代码(Grey prediction model based on the forecast of tourist arrivals matlab code)