normrnd和randn中均适用于生成正态分布的随机数，区别在于normrnd可以自己指定均值MU和方差sigma。而randn生成的是标准的正态分布(即MU=0,sigma=1)。
R = normrnd(mu,sigma) generates random numbers from the normal distribution with mean parameter mu and standard deviation parameter sigma. mu and sigma can be vectors, matrices, or multidimensional arrays that have the same size, which is also the size of R. A scalar input for mu or sigma is expanded to a constant array with the same dimensions as the other input.
R = normrnd(mu,sigma,m,n,…) or R = normrnd(mu,sigma,[m,n,…]) generates an m-by-n-by-… array. The mu, sigma parameters can each be scalars or arrays of the same size as R.
n1 = normrnd(1:6,1./(1:6)) n1 = 2.1650 2.3134 3.0250 4.0879 4.8607 6.2827 n2 = normrnd(0,1,[1 5]) n2 = 0.0591 1.7971 0.2641 0.8717 -1.4462 n3 = normrnd([1 2 3;4 5 6],0.1,2,3) n3 = 0.9299 1.9361 2.9640 4.1246 5.0577 5.9864 X = randnexample X = randn(n)example X = randn(sz1,...,szN)example X = randn(sz)example X = randn(___,typename)example X = randn(___,'like',p) 版权声明：本文内容由互联网用户自发贡献，该文观点仅代表作者本人。本站仅提供信息存储空间服务，不拥有所有权，不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容， 请联系我们举报，一经查实，本站将立刻删除。
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