How can I fix this error - "Error using / Matrix dimensions must agree"
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I am trying to get values for y with T in the range 800 - 1100. the function I have called antoine works for single values but i get the error seen in the screen shot when i try to use the linspace command. Any idea how i can fix this?
2 个评论
the cyclist
2017-1-26
For future reference, it is better to upload the code itself, rather than a screenshot of the code. That way, we can paste it into MATLAB directly.
Anila Khan
2017-11-19
When i run this program it give me error. Error screen shoot attach here please guide me.
clc clear all close all m=30; n=30; snr=20; %Generation of corelation matrix
R=eye(m,m) R(m+1:m+1:end)=0.2; R(2:m+1:end)=0.2;
generations=100:100:500 no_ofDataRuns=500 for gen=1:length(generations) genError=0 for i=1:no_ofDataRuns B=randsrc(m,n) tx=randsrc(1,m) r=awgn(tx,snr) FF=Fit_PSO(r, B, R, m) for cyc=1:generations(gen) Pb=FF(:,2:end) %pb=B; Gb=FF(1,2:end) V=zeros(m,n) for k=1:m C=(Pb(k,:) - B(k,:)); D=(Gb - B(k,:)); V(k,:)=V(k,:) + rand().*C + rand().*D; %V(k,:)=V(k,:) + rand().*(Pb(k,:) - B(k,:)) + rand().*(Gb - B(k,:));
end
for a=1:m
for b=1:n
S(a,b)=1/(1+exp(-V(a,b)))
if S(a,b)>rand()
B(a,b)=1
else
B(a,b)=-1
end
end
end
updated_fitness=Fit_PSO(r,B,R,m)
updated_fitness_error=updated_fitness(1,2:end)
Error(cyc)=pdist([updated_fitness_error;tx],'hamming')
end
genError=(genError+Error(cyc))
end
BER(gen)=genError/[generations(gen)*no_ofDataRuns]
end semilogy(generations,smooth(BER),'Color',[0 0 1]) xlabel('Number of cycles'); ylabel('Bit Error Rate'); txt = strcat('BER Vs generations with ',int2str(snr),'db AWGN') title('BER Vs NOC') grid on; hold on;
采纳的回答
Replace the two / by ./, and ^2 by .^2
And if you want to avoid potential nasty surprises in future code, never write a subtraction as
a -b
either put a space on both sides of the operator
a - b
or on neither:
a-b
Compare the result of
[2 - 1]
[2-1]
[2 -1]
to see why your notation is problematic.
3 个评论
Diah Junaidi
2017-11-27
How about this sir?? Would you please check mine too. I dont know what going to do sir :(
Ivan Dwi Putra
2020-3-10
function dx = trainfinalmodel(t,x)
%Parameter Massa
m1 = 65; % massa train set 1 dalam kg
m2 = 65; % massa train set 2 dalam kg
g = 10;
%Parameter Gaya
f1 = 117; % dalam N
f2 = 117; % dalam N
c_0_1 = 0.0016*m1*g;
c_1_1 = 0.00008*m1*g;
c_2_1 = 0.0000006*m1*g*(x(2)^2) ;
c_0_2 = 0.0016*m2*g;
c_1_2 = 0.00008*m2*g;
c_2_2 = 0.0000006*m2*g*(x(4)^2) ;
v_0 = 60;
hstar = 120;
a_1 = -1/m1*(c_1_1+2*c_2_1*v_0);
a_2 = -1/m2*(c_1_2+2*c_2_2*v_0);
a_1_head = 1-(a_1*hstar);
a_2_head = 1-(a_2*hstar);
b = 1;
p_1 = -1/m1*(c_0_1 - c_2_1*(v_0)^2);
p_2 = -1/m2*(c_0_2 - c_2_2*(v_0)^2);
x = [x(1);x(2);x(3);x(4)];
x_transpost_t = transpose(x);
A = [0 a_1_head 0 0;
0 0 0 0;
0 (a_2_head-1) 0 a_2_head;
0 0 0 0;
];
B = [-b*hstar 0;
b 0;
0 -b*hstar;
-b -b;
];
U_t = [f1;f2];
W = [((a_1 - 1)*v_0) - p_1*hstar;
((a_2 - 1)*v_0) - p_2*hstar;
];
dx = (A.*x_transpost_t) + (B.*U_t) + W;
end
please check my mine too, i have same problem the matrix dimension must agree
Anand Kumar
2021-5-8
well approach.
更多回答（1 个）
the cyclist
2017-1-26
编辑：the cyclist
2017-1-26
6 个投票
You need to use element-wise division, not matrix division.
Use "./" in place of "/"
You are similarly going to want ".^" rather than just "^" for raising to a power.
2 个评论
Diah Junaidi
2017-11-27
How about this sir?? I dont know what should i do :( would you please check mine sir ? :(
the cyclist
2017-11-27
Rather than putting a comment a question that is nearly a year old, I suggest that you create a new question. Attach your code (as you did here), tell us the full text of any error messages you are getting, and ask specific questions.
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