I have a code for new rb
A=rand(64,2);
Tc=[ones(64,1) 2*ones(64,1)];
D=newrb(A,Tc);
E=A(:,2);
Y=sim(D,E)
NEWRB, neurons = 0, MSE = 0.25
i get output as 2(64x1),but what that MSE means,please tell
and i have been asked to take 40 datas(40x2) for training nd rest for testing,if i perform i get error
Error using ==> network.sim at 178 Inputs are incorrectly sized for network. Matrix must have 64 rows.
so please can anyone tell what command must be used
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use, for any network m=mse(name_of_network,output_of _network,target_of_network)
3 Comments
Direct link to this comment:
http://www.mathworks.com/matlabcentral/answers/58312#comment_121585
MSE is mean squared error.
Direct link to this comment:
http://www.mathworks.com/matlabcentral/answers/58312#comment_121586
OK BUT in my output i get ass value as 2,but why i get MSE as 0.25
Direct link to this comment:
http://www.mathworks.com/matlabcentral/answers/58312#comment_121771
MEAN squared error