输入的数据必须是标量，而且必须是方阵
acompliance requirements 服从要求[translate] a动产物权 Movable property real right[translate] a由于重力的作用 As a result of gravity function[translate] aInputs must be a scalar and a square matrix. 输入必须是标量和一个方矩阵。[translate]
awork hard for your dreem and good luck for you! 正在翻译,请等待...[translate] aInputs must be a scalar and a square matrix. Inputs must be a scalar and a square matrix.[translate]
把y的表达式改成下面就可以了 y=sqrt((442.1.*cos(x+4)-12.4).^2+(442.1.*sin(x+4)-174.9).^2);错误出现的原因，矩阵元素的幂，不等于矩阵的幂，矩阵的幂是 ^ 而矩阵元素的幂就是 .^ 请注意区别
matlab 急救 Inputs must be a scalar and a square matrix. d=0:1:10 ;R=(6372+d)^2-d^2-6372^2;sqrt(R)plot(d,R) 2012-3-6 22:46 满意回答 d=0:1:10 ; R=(6372+d).^2-d.^2-6372^2; a=sqrt(R); plot(R)本站是提供个人知识管理的网络存储空间,所有内容均由用户发布,不代表...
把所有的幂运算符（^)改成 .^（前面加一个小数点）：y=(1.053e-009)*x.^8+(-1.889e-007)*x.^7+(1.294e-005)*x.^6-0.0004074*x.^5+0.005117*x.^4+0.005513*x.^3-0.5017*x.^2+3.667*x+3.598;
By linearity we mean that every neural network in the set can be expressed by (5.4)y=[g1(x)g1(x)⋱gm(x)]T[W1W2⋮Wm]≜G(x)TW, where y is the neural network output vector, G is a fixed nonlinear mapping function matrix, x is the neural network input vector, and W is ...
d=0:1:10 ;R=(6372+d).^2-d.^2-6372^2;a=sqrt(R);plot(R)
Saliency maps can be computed as follows: the class score derivatives are calculated w.r.t the input image through backpropagation. Then, the saliency map values are arranged in the same order as the input image pixels, i.e., m × n derivatives matrix will have the same indices as m ×...
首先，楼主可能会感到困惑的是，自己的表达式中并没有mpower这个符号，为什么会报 Error using ==> mpower 这样的错误？其实，用 help mpower 查阅该函数的参考信息，可以知道mpower是矩阵幂函数（Matrix power），对应的符号就是“^”，而这个符号在楼主的表达式中。这里，要顺便做一点背景性的介绍：...