 Usage:  net=nnrnet (x, y, weights, size{, param {, wts}})  

 

 Input:



  x                      n x p matrix input variables 

                         

  y                      n x q matrix output variables 

                         

  weights                n x 1 vector of weights 

                         

  size                   scalar number of hidden units 

                         

  param                  7 x 1 vector of parameters 

                         

  wts                    vector of predefined weights 

                         

 Output:



  net.n                  3 x 1 vector number of input, hidden and output units 

                         

  net.nunits             scalar 

                         

  net.nconn              vector 

                         

  net.conn               vector 

                         

  net.decay              scalar weight decay parameter 

                         

  net.entropy            scalar 

                         

  net.softmax            scalar 

                         

  net.value              scalar value of error function 

                         

  net.wts                vector of weights 

                         

  net.yh                 n x q estimated y's 

                         

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(C) MD*TECH Method and Data Technologies, 21.9.2000

