MATLAB: ANN

ann

My input array is
   35.0000    1.0000    1.2500    0.5000
   65.0000    1.0000    1.2500    0.5000
   35.0000    2.0000    1.2500    0.5000
   65.0000    2.0000    1.2500    0.5000
   35.0000    1.0000    1.7500    0.5000
   65.0000    1.0000    1.7500    0.5000
   35.0000    2.0000    1.7500    0.5000
   65.0000    2.0000    1.7500    0.5000
   35.0000    1.0000    1.2500    1.0000
   65.0000    1.0000    1.2500    1.0000
   35.0000    2.0000    1.2500    1.0000
   65.0000    2.0000    1.2500    1.0000
   35.0000    1.0000    1.7500    1.0000
   65.0000    1.0000    1.7500    1.0000
   35.0000    2.0000    1.7500    1.0000
   65.0000    2.0000    1.7500    1.0000
   20.0000    1.5000    1.5000    0.7500
   80.0000    1.5000    1.5000    0.7500
   50.0000    0.5000    1.5000    0.7500
   50.0000    2.5000    1.5000    0.7500
   50.0000    1.5000    1.0000    0.7500
   50.0000    1.5000    2.0000    0.7500
   50.0000    1.5000    1.5000    0.2500
   50.0000    1.5000    1.5000    1.2500
   50.0000    1.5000    1.5000    0.7500
   50.0000    1.5000    1.5000    0.7500
   50.0000    1.5000    1.5000    0.7500
   50.0000    1.5000    1.5000    0.7500
   50.0000    1.5000    1.5000    0.7500
   50.0000    1.5000    1.5000    0.7500
My output array is
    7.9700
   15.2200
    9.5300
   12.6000
    9.4400
   13.1600
    9.8100
   11.6500
    8.4700
   14.0500
    9.5000
   11.7000
    7.0900
   11.1000
    6.6900
   10.4400
    6.2900
   14.8800
   12.2500
   10.3800
   10.6500
    9.5000
   10.1600
   10.6500
   11.1300
   11.5000
   11.1000
   10.9900
   10.9800
   11.0300
I used Neural Network tool(nntool). I clicked new in the network data manager and in the create network page I selected the Network type as Feed-forward backprop
Input data in a variable'c' as given above and selected it from the dropdown box and the target data 'd' same. other parameters like training function & Adaption learning function and Performance function as default values.
If I need only one hidden layer, Do I need to set the number of layers as 1?
Similarly I set the number of neurons as 3 for layer1 & the transfer function as LOGSIG and created the network by name network1. Now I opened the network and clicked the Train tab. In the training info I selected the Training Data Input as c and target as d and clicked Train. But I am not getting the ANN predicted output value corresponding to each input value.
Please help me at the earliest.

Best Answer

we use the SIM function to see the predicted response of the ANN.
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