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essrra
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this two codes is connected to each other when i run the first code it gives me error says : Error using KNN_ Too few input arguments,what i shoud do
global A trn vald ; SearchAgents_no=10; % Number of search agents Max_iteration=100; % Maximum numbef of iterations % A=lo...
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this two code are connected to each other when i run the first code it gives me error says: Error using GWO Too many output arguments.
close all clear all clc global A trn vald ; T=100; N=30; lb=0;% ub=1; runs=30; threshold=2; fitfun=@AccSz; %fitness fu...
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it gives me error Unrecognized function or variable 'GWO'.
close all clear all clc global A trn vald ; T=100; N=30; lb=0;% ub=1; runs=30; threshold=2; fitfun=@AccSz; %fitness fu...
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when i run this code it give me error Not enough input arguments. Error in GWO (line 23) Alpha_pos=zeros(1,dim);
% Grey Wolf Optimizer function [Alpha_score,Alpha_pos,Convergence_curve]=GWO(SearchAgents_no,Max_iter,lb,ub,dim,fobj) % init...
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WOit gives me error says un recognized variable GWO
clc; clear; global A trn vald ; T=100; N=30; lb=0;% ub=1; runs=30; threshold=2; fitfun=@AccSz; %fitness function 0.99Er...
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Out of memory. The likely cause is an infinite recursion within the program.
function [neighborIds, neighborDistances] = kNearestNeighbors(dataMatrix, queryMatrix, k) %----------------------------------...
Out of memory. The likely cause is an infinite recursion within the program.
function [neighborIds, neighborDistances] = kNearestNeighbors(dataMatrix, queryMatrix, k) %----------------------------------...
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"Too few input arguments"? (GUI handles)
function [predicted_labels,nn_index,accuracy] = KNN_(k,data,labels,t_data,t_labels) %KNN_: classifying using k-nearest neighbor...
"Too few input arguments"? (GUI handles)
function [predicted_labels,nn_index,accuracy] = KNN_(k,data,labels,t_data,t_labels) %KNN_: classifying using k-nearest neighbor...
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