MATLAB: Perceptron : Recognition Pattern ABC

abcDeep Learning ToolboxMATLABpatternperceptronrecognition

Hi, all
I have six patterns as shown below
A1 = [ -1 -1  1  1 -1 -1 -1;
       -1 -1 -1  1 -1 -1 -1;
       -1 -1 -1  1 -1 -1 -1;
       -1 -1  1 -1  1 -1 -1;
       -1 -1  1 -1  1 -1 -1;
       -1  1  1  1  1  1 -1;
       -1  1 -1 -1 -1  1 -1;
       -1  1 -1 -1 -1  1 -1;
        1  1  1 -1  1  1  1];
B1 = [  1  1  1  1  1  1  1;
        1 -1 -1 -1 -1 -1  1;
        1 -1 -1 -1 -1 -1  1;
        1 -1 -1 -1 -1 -1  1;
        1  1  1  1  1  1  1;
        1 -1 -1 -1 -1 -1  1;
        1 -1 -1 -1 -1 -1  1;
        1 -1 -1 -1 -1 -1  1;
        1  1  1  1  1  1  1];
C1 = [ -1 -1  1  1  1  1  1 ;
       -1  1 -1 -1 -1 -1  1;
        1 -1 -1 -1 -1 -1 -1;
        1 -1 -1 -1 -1 -1 -1;
        1 -1 -1 -1 -1 -1 -1;
        1 -1 -1 -1 -1 -1 -1;
        1 -1 -1 -1 -1 -1 -1;
       -1  1 -1 -1 -1 -1  1;
       -1 -1  1  1  1  1 -1];
A2 = [ -1 -1 -1  1 -1 -1 -1;
       -1 -1 -1  1 -1 -1 -1;
       -1 -1 -1  1 -1 -1 -1;
       -1 -1  1 -1  1 -1 -1;
       -1 -1  1 -1  1 -1 -1;
       -1  1 -1 -1 -1  1 -1;
       -1  1  1  1  1  1 -1;
       -1  1 -1 -1 -1  1 -1;
       -1  1 -1 -1 -1  1 -1];
B2 = [  1  1  1  1  1  1 -1;
        1 -1 -1 -1 -1 -1  1;
        1 -1 -1 -1 -1 -1  1;
        1 -1 -1 -1 -1 -1  1;
        1  1  1  1  1  1 -1;
        1 -1 -1 -1 -1 -1  1;
        1 -1 -1 -1 -1 -1  1;
        1 -1 -1 -1 -1 -1  1;
        1  1  1  1  1  1 -1];
C2 = [ -1 -1  1  1  1 -1 -1;
       -1  1 -1 -1 -1  1 -1;
        1 -1 -1 -1 -1 -1  1;
        1 -1 -1 -1 -1 -1 -1;
        1 -1 -1 -1 -1 -1 -1;
        1 -1 -1 -1 -1 -1 -1;
        1 -1 -1 -1 -1 -1  1;
       -1  1 -1 -1 -1  1 -1;
       -1 -1  1  1  1 -1 -1];
I have to recognize these patterns with artificial neural network.
I am new in Matlab. Please help!
I need to divide this data into 2 groups.
The first group A1, B1, C1 as training data. The second group A2, B2, C2 used to validate/test the network.
Example : if I select A1 then the output must display 'A', if I select B1 then the output must display 'B', if I select A2 then the output must display 'A'.
. . # # . . .   
. . . # . . .   
. . . # . . .   
. . # . # . .   
. . # . # . .   => This pattern should be recognized as A
. # # # # # .   
. # . . . # .   
. # . . . # .   
# # # . # # #
In result program, we must explain epochs from start to finish , which Learning Rate = 1 And Threshold Value = 0.5
How do I do that?
Thanks in advance!
Network type is perceptron

Best Answer

Start with MATLAB examples
 help fitnet      % regression/curve-fitting
 help patternnet  % classification/pattern-recognition
 help nndata
 Then submit failed code with comments and/or error messages
Hope this helps.
Greg
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