Scilab Function
Last update : 13/3/2006

ANN_NORM - Function to normalise data to train a feed forward network

Calling Sequence

[DATA_final,DATA_mean,DATA_std] = ANN_NORM(DATA,[OBJ,MULT,MEAN,STD])

Parameters

Description

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Examples

    // Raw values
    INraw     = 200*rand(6,100)-50;
    TARGraw   = 1000*rand(1,100)-888;   

   // Calibration of a network with 6 input nodes, 4 nodes in the hidden layer and 1 output node
   IN         = ANN_NORM(INraw);
   [TARG,m,s] = ANN_NORM(TARGraw);
   Wini = rand(4,7,2);
   [W,OUT,RMSE] = ANN_LMBR(IN,TARG,4,Wini);

    // Plot results
    clf();
   plot2d([TARGraw' ANN_NORM(OUT','norm2raw',1,m,s)]); 

  

See Also

ANN_LMBR ,   ANN_JACOB ,   ANN_CONV_W ,   ANN_SIM ,  

Authors

Julien Lerat CEMAGREF Antony, HBAN Unit, julien.lerat@cemagref.fr