如何在Matlab中设置相同的初始种子随机数?

本文介绍了如何在Matlab中设置相同的初始种子随机数?的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！ 问题描述

我有一个matlab代码，其中包含一堆随机数，例如:unifrnd(0,1)，normrnd(mu,sigma)，这种功能会一遍又一遍地重复.

I have a matlab code which has a bunch of random numbers such as: unifrnd(0,1), normrnd(mu,sigma), this sort of functions get repeated over and over again.

有什么办法可以修复生成的随机数?意思是，一旦得到一些结果，我就运行代码，在第二次运行中，我得到不同的结果(如预期的那样).但是，我想尝试一些经验，如果可以修复初始种子，使两次运行的所有随机性都相同，那将非常有帮助.

Is there any way I can fix the random numbers that are generated? Meaning, I run the code once I get some results, on the second run I get different results (as expected). However, I want to make some experiences and it would be really helpful if I could fix the initial seed so that all randomness would be the same on the two runs.

谢谢， V

是否可以进行以下工作:rand('seed', 57)

edit: Would something like this work: rand('seed', 57)

推荐答案

根据文档，

rng(seed);

设置随机数生成器的种子.

sets the seed of the random number generator.