--- name: "profnet_con" section: "1" platform: "linux" package: "profnet-con" version: "1.0.22-8" release: "Debian 13 (Trixie)" platforms: ["linux"] url: "https://new.carta.tech/profnet_con" --- # profnet\_con(1) neural network implementations in Fortran ## 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! ## AUTHOR Burkhard Rost \ Bug fixes and enhancements by Laszlo Kajan \ and Guy Yachdav \ ## COPYRIGHT AND LICENSE Copyright 1998-2011 by Burkhard Rost \ EMBL, CUBIC (Columbia University, NY, USA) and LION Biosciences (Heidelberg, DE) Copyright 2009-2011 by Laszlo Kajan \ Technical University Munich (Munich, DE) Copyright 2009-2011 by Guy Yachdav \ CUBIC (Columbia University, NY, USA) and Technical University Munich (Munich, DE)