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PROGRAM:
NAME
profnet_* - neural network implementations in Fortran
SYNOPSIS
profnet_* [OPTION|filePar]
DESCRIPTION
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.
OPTIONS
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
NOTES
1st MUST be "switch"!
tested only with 2 layers!
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