profnet_* - neural network implementations in Fortran

       Burkhard Rost <rost@rostlab.org>

       Bug fixes and enhancements by Laszlo Kajan <lkajan@rostlab.org> and Guy Yachdav <gyachdav@rostlab.org>

       Copyright  1998-2011  by  Burkhard Rost <rost@rostlab.org> EMBL, CUBIC (Columbia University, NY, USA) and
       LION Biosciences (Heidelberg, DE)

       Copyright 2009-2011 by Laszlo Kajan <lkajan@rostlab.org> Technical University Munich (Munich, DE)

       Copyright 2009-2011 by Guy Yachdav  <gyachdav@rostlab.org>  CUBIC  (Columbia  University,  NY,  USA)  and
       Technical University Munich (Munich, DE)

1.0.22-                                            2022-01-19                                         PROFNET(1)

       profnet_* binaries are neural network implementations in Fortran.  Due to the original design of the
       code, a specific binary is compiled for each particular network architecture, changing certain constants
       in the source code.  Therefore, there is a binary for every network architecture used.  Note: certain
       array structures are intentionally indexed out of bounds in some of the binaries.

       Note:

       This binary should only be used to run with pre-made training data, do not try to use it to train your
       network as it will produce undesired results. It was made to be used only as part of wrapping (dependent)
       packages and not as a standalone neural network program.

       profnet_* - neural network implementations in Fortran

       1st MUST be "switch"!

       tested only with 2 layers!

       This list is not exhaustive.

       filePar
           file with input parameters (also gives fileIn, fileOut)

       1   "switch"

       2   number of input units

       3   number of hidden units

       4   number of output units

       5   number of samples

       6   bitacc (typically 100)

       7   file with input vectors

       8   file with junctions

       9   file with output of NN ("none" -> no file written)

       10  optional=dbg

       [inter]
           will bring up dialog

       profnet_* [OPTION|filePar]