grnnsim

 GRNNSIM Simulate a GRNN with autoassociative completion
   [yi,act] = grnnsim(xi,grnn,idx)

 INPUTS
   xi: (Rin x Q) data in the input space. This vector can contain NaN values 
       for which the GRNN performs autoassociative completion
 grnn: (struct) a GRNN object generated by grnntra()
  idx: Index vector with the variables of xi to be taken into account.

 OUTPUTS
   yi: (Rout x Q) data in the output space
  act: (1xQ) is the activation level of the bmu for each sample.

 DESCRIPTION
   Simulates a previously trained GRNN. NaN values can be inserted in
   data matrix xi to account for unavailable or not valid data. The GRNN
   will perform autoassociative completion for these values.

 See also GRNNTRA