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Import of SNNS version 4.1.
Fully featured neural network simulator PR: 5771 Submitted by: Jeremy Lea <reg@shale.csir.co.za>
This commit is contained in:
Steve Price
parent
07601d1674
commit
32db6a078a
Notes:
svn2git
2021-03-31 03:12:20 +00:00
svn path=/head/; revision=17571
35
math/snns/Makefile
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35
math/snns/Makefile
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# New ports collection makefile for: snns
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# Version required: 4.1
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# Date created: 2 Febuary 1997
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# Whom: reg@shale.csir.co.za
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#
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# $Id$
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#
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DISTNAME= SNNSv4.1
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PKGNAME= snns-4.1
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CATEGORIES= math
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MASTER_SITES= ftp://ftp.informatik.uni-stuttgart.de/pub/SNNS/
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MAINTAINER= reg@shale.csir.co.za
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post-configure:
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@(cd ${WRKSRC} && ./configure < options.FreeBSD)
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@(sed -e "s#%prefix%#${PREFIX}#g" < ${FILESDIR}/snns > ${WRKSRC}/snns)
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do-build:
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@(cd ${WRKSRC} && ./build all)
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do-install:
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${MKDIR} ${PREFIX}/snns/bin ${PREFIX}/snns/examples
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${INSTALL_PROGRAM} ${WRKSRC}/xgui/bin/other/xgui ${PREFIX}/snns/bin
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${INSTALL_PROGRAM} ${WRKSRC}/tools/bin/other/* ${PREFIX}/snns/bin
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${INSTALL_DATA} ${WRKSRC}/examples/* ${PREFIX}/snns/examples
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${INSTALL_DATA} ${WRKSRC}/Readme ${PREFIX}/snns
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${INSTALL_DATA} ${WRKSRC}/Readme.license ${PREFIX}/snns
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${INSTALL_DATA} ${WRKSRC}/default.cfg ${PREFIX}/snns
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${INSTALL_DATA} ${WRKSRC}/help.hdoc ${PREFIX}/snns
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${INSTALL_SCRIPT} ${WRKSRC}/snns ${PREFIX}/bin
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@${CAT} ${PKGDIR}/MESSAGE
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.include <bsd.port.mk>
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1
math/snns/distinfo
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1
math/snns/distinfo
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MD5 (SNNSv4.1.tar.gz) = 6385faf45eec7bfba67d7024c31d1ac0
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8
math/snns/files/snns
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8
math/snns/files/snns
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#! /bin/sh
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XGUILOADPATH=%prefix%/snns
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export XGUILOADPATH
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PATH=${PATH}:%prefix%/snns/bin
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export PATH
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%prefix%/snns/bin/xgui
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1
math/snns/pkg-comment
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1
math/snns/pkg-comment
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Fully featured neural network simulator
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24
math/snns/pkg-descr
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24
math/snns/pkg-descr
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SNNS (Stuttgart Neural Network Simulator) is a software simulator for neural
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networks on Unix workstations developed at the Institute for Parallel and
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Distributed High Performance Systems (IPVR) at the University of Stuttgart.
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The goal of the SNNS project is to create an efficient and flexible
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simulation environment for research on and application of neural nets.
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The SNNS simulator consists of two main components:
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1) simultor kernel written in C
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2) graphical user interface under X
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The simulator kernel operates on the internal network data structures of the
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neural nets and performs all operations of learning and recall. It can also
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be used without the other parts as a C program embedded in custom
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applications. It supports arbitrary network topologies and the concept of
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sites. SNNS can be extended by the user with user defined activation
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functions, output functions, site functions and learning procedures, which
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are written as simple C programs and linked to the simulator kernel.
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The graphical user interface XGUI (X Graphical User Interface), built on top
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of the kernel, gives a 2D and a 3D graphical representation of the neural
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networks and controls the kernel during the simulation run. In addition, the
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2D user interface has an integrated network editor which can be used to
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directly create, manipulate and visualize neural nets in various ways.
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8
math/snns/pkg-message
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8
math/snns/pkg-message
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************************************************
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Please read the licensing terms described in the
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Readme.license file. In particular, please note
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that this software is not public domain and that
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it comes with NO WARRANTY OF ANY KIND.
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************************************************
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148
math/snns/pkg-plist
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148
math/snns/pkg-plist
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bin/snns
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snns/Readme
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snns/Readme.license
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snns/default.cfg
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snns/help.hdoc
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snns/bin/analyze
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snns/bin/batchman
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snns/bin/bignet
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snns/bin/convert2snns
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snns/bin/feedback-gennet
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snns/bin/isnns
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snns/bin/mkhead
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snns/bin/mkout
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snns/bin/mkpat
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snns/bin/netlearn
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snns/bin/netperf
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snns/bin/pat_sel
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snns/bin/snns2c
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snns/bin/snnsbat
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snns/bin/xgui
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snns/examples/README.all
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snns/examples/art1_letters.README
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snns/examples/art1_letters.cfg
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snns/examples/art1_letters.net
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snns/examples/art1_letters.pat
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snns/examples/art1_letters3D.cfg
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snns/examples/art2_tetra.README
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snns/examples/art2_tetra.cfg
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snns/examples/art2_tetra.net
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snns/examples/art2_tetra.pat
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snns/examples/art2_tetra_high.pat
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snns/examples/art2_tetra_low.pat
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snns/examples/art2_tetra_med.pat
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snns/examples/artmap.README
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snns/examples/artmap.cfg
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snns/examples/artmap.net
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snns/examples/artmap_test.pat
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snns/examples/artmap_train.pat
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snns/examples/bdg_TDNN.README
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snns/examples/bdg_TDNN.cfg
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snns/examples/bdg_TDNN.chk
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snns/examples/bdg_TDNN.net
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snns/examples/bdg_TDNN.pat
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snns/examples/bdg_TDNN_untrained.net
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snns/examples/bdg_variable.pat
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snns/examples/default.cfg
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snns/examples/dlvq_ziff.README
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snns/examples/dlvq_ziff.cfg
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snns/examples/dlvq_ziff.chk
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snns/examples/dlvq_ziff.net
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snns/examples/dlvq_ziff_100.pat
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snns/examples/dlvq_ziff_trained.net
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snns/examples/dlvq_ziff_untrained.net
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snns/examples/eight_016.pat
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snns/examples/eight_160.pat
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snns/examples/eight_elman.README
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snns/examples/eight_elman.cfg
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snns/examples/eight_elman.chk
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snns/examples/eight_elman.net
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snns/examples/eight_elman_untrained.net
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snns/examples/eight_jordan.README
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snns/examples/eight_jordan.cfg
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snns/examples/eight_jordan.chk
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snns/examples/eight_jordan.net
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snns/examples/eight_jordan_untrained.net
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snns/examples/encoder.README
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snns/examples/encoder.cfg
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snns/examples/encoder.chk
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snns/examples/encoder.net
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snns/examples/encoder.pat
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snns/examples/encoder_untrained.net
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snns/examples/font.README
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snns/examples/font.cfg
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snns/examples/font.chk
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snns/examples/font.net
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snns/examples/font.pat
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snns/examples/font_untrained.net
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snns/examples/laser.README
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snns/examples/laser.cfg
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snns/examples/laser.chk
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snns/examples/laser.net
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snns/examples/laser_1000.pat
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snns/examples/laser_999.pat
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snns/examples/laser_untrained.net
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snns/examples/letseq.README
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snns/examples/letseq.chk
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snns/examples/letseq_elman.cfg
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snns/examples/letseq_elman.net
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snns/examples/letseq_elman_untrained.net
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snns/examples/letseq_h_elm.cfg
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snns/examples/letseq_h_elm.net
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snns/examples/letseq_test.pat
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snns/examples/letseq_train.pat
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snns/examples/letters.README
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snns/examples/letters.cfg
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snns/examples/letters.chk
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snns/examples/letters.net
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snns/examples/letters.pat
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snns/examples/letters.res
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snns/examples/letters3D.cfg
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snns/examples/letters3D.net
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snns/examples/letters_test.net
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snns/examples/letters_untrained.net
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snns/examples/nettalk.README
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snns/examples/nettalk.cfg
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snns/examples/nettalk.net
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snns/examples/nettalk.pat
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snns/examples/patmat.README
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snns/examples/patmat.cfg
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snns/examples/patmat.chk
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snns/examples/patmat.net
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snns/examples/patmat.pat
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snns/examples/patmat_untrained.net
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snns/examples/snnsbat1.cfb
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snns/examples/snnsbat2.cfb
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snns/examples/som_cube.README
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snns/examples/som_cube.cfg
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snns/examples/som_cube.cont
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snns/examples/som_cube.net
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snns/examples/som_cube.pat
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snns/examples/som_cube_norm.pat
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snns/examples/spirals.pat
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snns/examples/spirals_dda.README
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snns/examples/spirals_dda.cfg
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snns/examples/spirals_dda.net
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snns/examples/watch.README
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snns/examples/watch.cfg
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snns/examples/watch.net
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snns/examples/watch.pat
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snns/examples/watch_2out.README
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snns/examples/watch_2out.cfg
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snns/examples/watch_2out.net
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snns/examples/watch_2out.pat
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snns/examples/watch_edge.pgm
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snns/examples/watch_edge_invert.pgm
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snns/examples/watch_orig.pgm
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snns/examples/xor.README
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snns/examples/xor.chk
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snns/examples/xor.net
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snns/examples/xor.pat
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snns/examples/xor_rec.cfg
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snns/examples/xor_rec.net
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snns/examples/xor_rec1.pat
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snns/examples/xor_rec2.pat
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snns/examples/xor_untrained.net
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@dirrm snns/bin
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@dirrm snns/examples
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@dirrm snns
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