Using Backpropagation Neural Nerwok for forecasting simple data

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  17.8
2001  5.3  5.1  14.8  0  0.6  0  0  0  0  0  9  36.8
2002  57  34.1  4  35.2  1.1  0  0  0  0  0  8.1  13.6
2003  43.1  16.1  59.9  9.5  6.2  0  0  0  0  0  0  5.9
2004  34.3  24.7  4.8  4.4  1.2  0  0.1  0  0  0  0.1  57.1
2005  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];

Answer 1

[Greg Heath]

Search the Newsgroup using

heath newfftd

Hope this helps.

Greg