MATLAB Online에서 열기 Hi , howcanexplain this code? function[wreduit]=acp1(W) W1=W'; mx=mean(W1); stdx=std(W1);ax=zeros(size(W1)); [r1,c1]=size(W1); fori=1:r1 ax(i,:)=(W1(i,:)-mx)./stdx; end cov=ax'*ax/(r1-1); ...
MATLAB Online에서 열기 functionEVAL = Evaluate(ACTUAL,PREDICTED) % This fucntion evaluates the performance of a classification model by % calculating the common performance measures: Accuracy, Sensitivity, % Specificity, Precision, Recall, F-Measure, G-mean. ...
Often code is insufficiently documented, and especially challenging for beginners/novices. ChatGPT is quite adept at explaining MATLAB code. This script grabs a simple MathWorks documentation example code and illustrates how to strip away comments to create or emulate poorly documented code. An image ...
function[] = lanczos_ortho(A, m, debug) [n,k] = size(A); V = zeros(k,m+1); if(nargin == 2) V(:,2) = rand(k,1); else V(:,2)= 0.5*ones(k,1); end V(:,2)=V(:,2)/norm(V(:,2),2); beta(2)=0; forj=2:m+2 w = A*V(:,j); w = A'*w; w = w ...
Can someone explain to me or translate this code... Learn more about matrix, matlab, matrices, mathematics, matrix array
MATLAB Online で開く if nargout [varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:}); else gui_mainfcn(gui_State, varargin{:}); end 0 件のコメント 回答(1 件) Image Analyst2013 年 9 月 13 日 0 リンク 翻訳 No. Don't worry about it. It's just boil...
I have done Simulink Three wheel veicle model...and i want to give a random road profile as an input for this. so i have my matlab code that generats ranom road profile... My need is how to give this matlab code output as input to simulink ca...
This MATLAB function returns the gradient-weighted class activation mapping (Grad-CAM) map of the change in the classification score of input X, when the network net evaluates the class score for the class given by classIdx.
Open in MATLAB Online Hi Here is a small piece of code (3rd party) *** functionA = TR1_4_CountTime(DCA,Time) % calculate time differences between each row fori=1:length(DCA)-1 A(i) = 0 ; forj=DCA(i)+1:DCA(i+1) A(i) = A(i) + Count...
This MATLAB function uses the locally-interpretable model-agnostic explanation (LIME) technique to compute a map of the importance of the features in the input image X when the network net evaluates the activation score for the channel given by channelId