NeoCognitron-1.0 man page

     neo(15/5/94)                                                   neo(15/5/94)

     NAME
          neo - a neocognitron simulator.

     SYNOPSIS
          neo -fin=<fn> -samp=# -fwgt=<fn> -use=# -fspec=<fn>

          Example:        Let the network read and classify 10 sample pattern

                  neo -fin=myinput.pat -samp=10 -fwgt=wgts.dat -fspec=specs.dat
          -maxiter=100 -reps=5

          where

                  -fin=           name of train file containing the input pattern
                  -samp=          number of train input patterns in train file
                  -fwgt=          name of the file with weights (see
          documentation)
                  -use=           use the weight file or not (1, 0)
                  -fspec=         name of the file with initial parameters (see
          documentation)
                  -fout=          name of the file to write output to (see
          documentation)
                  -maxiter=       maximal number of iterations
                  -reps=          number of repetitions for each pattern before
          proceeding

     DESCRIPTION
          A neural network simulator based on Fukushima's Neocognitron.

          The Neocognitron is a hierarchical self-organizing feedforward network
          . It learns off-line in a supervised or unsupervised manner. The
          network was and is mainly used to recognize handwritten numerals and
          characters.

     AUTHOR
          Frank Schnorrenberg

                                        - 1 -           Formatted:  May 19, 2000