how to plot this function?

ariellewin11 ariellewin11

2018 11 1

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更新时间：2021 8 20

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if true
  % code
endfunction [finalW, MSE, Numiterations] = gradientDescentLinearNeuron(P, t, lr, ErrorGoal, MaxIterations)
FinalW=(2*rand(1,100)-1)/10; 
x=(2*rand(1,100)-1)/10; 
x(:);
ErrorGoal=0.15;
lr=0.1;
step=1;
while ((MSE>ErrorGoal)&&(step<=MaxIterations))
 y1=FinalW*x;
 si=size(FinalW);
 y2=ones(si);
 y=[y1,y2];
 dMSEdw=-1/((length(x)*((sum(t)-y)*x)));
 FinalW=FinalW-lr*dMSEdw;
 MSE=1/2*(length(x)*((sum(t)-y).^2));
   step=step+1;
end
end

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ariellewin11 ariellewin11 2018-11-1

编辑：ariellewin11 ariellewin11 2018-11-1

i get them from data lists. external lists.

Kevin Chng 2018-11-1

在 MATLAB Online 中打开

function [finalW, MSE, Numiterations] = gradientDescentLinearNeuron(P, t, lr, ErrorGoal, MaxIterations)
FinalW=(2*rand(1,100)-1)/10; 
x=(2*rand(1,100)-1)/10; 
x(:);
ErrorGoal=0.15;
lr=0.1;
step=1;
while ((MSE>ErrorGoal)&&(step<=MaxIterations))
 y1=FinalW*x;
 si=size(FinalW);
 y2=ones(si);
 y=[y1,y2];
 dMSEdw=-1/((length(x)*((sum(t)-y)*x)));
 FinalW=FinalW-lr*dMSEdw;
 MSE=1/2*(length(x)*((sum(t)-y).^2));
   step=step+1;
end
end