Hello dears I have a question about Backpropagation Neural Network. These are the data of monthly total of precipitation in mm in a city from 2000 to 2005. Would anyone mind helping me learn it how to use “newff” , “train” , “sim” and , … to forecast the precipitation. For example from these data how to forecast the total monthly precipitation of year 2006 using a 3 layer Backpropagation Neural Nerwork. Sorry for my bad English. Thanks in Advance.
JAN FEB MAR APR MAY JUNE JULY AUG SEP OCT NOV DEC 2000 20 7.2 28.8 0 0 0 0 0 0 6.7 13.6 17.82001 5.3 5.1 14.8 0 0.6 0 0 0 0 0 9 36.82002 57 34.1 4 35.2 1.1 0 0 0 0 0 8.1 13.62003 43.1 16.1 59.9 9.5 6.2 0 0 0 0 0 0 5.92004 34.3 24.7 4.8 4.4 1.2 0 0.1 0 0 0 0.1 57.12005 38.5 53.4 64.1 1.8 24.4 0 0 0 0 0 10.3 0.5
these are the matlab codes for data:
x0=[20 7.2 28.8 0 0 0 0 0 0 6.7 13.6 17.8];
x1=[5.3 5.1 14.8 0 0.6 0 0 0 0 0 9 36.8];
x2=[57 34.1 4 35.2 1.1 0 0 0 0 0 8.1 13.6];
x3=[43.1 16.1 59.9 9.5 6.2 0 0 0 0 0 0 5.9];
x4=[34.3 24.7 4.8 4.4 1.2 0 0.1 0 0 0 0.1 57.1];
x5=[38.5 53.4 64.1 1.8 24.4 0 0 0 0 0 10.3 0.5];
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