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Artificial Neural Networks made easy with the FANN library

By , 16 Feb 2006
 
fann-1_2_0.zip
fann-1.2.0
aclocal.m4
AUTHORS
benchmarks
.cvsignore
benchmark.sh
benchmarks.pdf
datasets
building.test
building.train
diabetes.test
diabetes.train
gene.test
gene.train
mushroom.test
mushroom.train
parity13.test
parity13.train
parity8.test
parity8.train
pumadyn-32fm.test
pumadyn-32fm.train
robot.test
robot.train
soybean.test
soybean.train
thyroid.test
thyroid.train
two-spiral.test
two-spiral.train
gnuplot
Makefile
performance.cc
quality.cc
README
ChangeLog
config.guess
config.in
config.sub
configure
configure.in
COPYING
debian
changelog
compat
control
copyright
docs
libfann1.dirs
libfann1.files
libfann1.install
libfann1-dev.dirs
libfann1-dev.examples
libfann1-dev.files
libfann1-dev.install
rules
depcomp
doc
fann_doc_complete_1.0.pdf
html
Makefile
examples
Makefile
xor.data
fann.pc.in
fann.spec.in
INSTALL
install-sh
ltmain.sh
Makefile.am
Makefile.in
missing
mkinstalldirs
MSVC++
all.dsw
libfann.dsp
simple_test.dsp
simple_train.dsp
steepness_train.dsp
xor_test.dsp
xor_train.dsp
NEWS
python
examples
libfann.i
libfann.pyc
makefile.gnu
makefile.msvc
README
README
src
COPYING
include
Makefile.am
Makefile.in
Makefile.am
Makefile.in
TODO
win32_dll
examples
makefile
fann_win32_dll-1_2_0.zip
aclocal.m4
AUTHORS
.cvsignore
benchmark.sh
benchmarks.pdf
building.test
building.train
diabetes.test
diabetes.train
gene.test
gene.train
mushroom.test
mushroom.train
parity13.test
parity13.train
parity8.test
parity8.train
pumadyn-32fm.test
pumadyn-32fm.train
robot.test
robot.train
soybean.test
soybean.train
thyroid.test
thyroid.train
two-spiral.test
two-spiral.train
gnuplot
Makefile
performance.cc
quality.cc
README
ChangeLog
config.guess
config.in
config.sub
configure
configure.in
COPYING
changelog
compat
control
copyright
docs
libfann1.dirs
libfann1.files
libfann1.install
libfann1-dev.dirs
libfann1-dev.examples
libfann1-dev.files
libfann1-dev.install
rules
depcomp
fann_doc_complete_1.0.pdf
Makefile
Makefile
xor.data
fann.pc.in
fann.spec.in
INSTALL
install-sh
ltmain.sh
Makefile.am
Makefile.in
missing
mkinstalldirs
all.dsw
libfann.dsp
simple_test.dsp
simple_train.dsp
steepness_train.dsp
xor_test.dsp
xor_train.dsp
NEWS
libfann.i
libfann.pyc
makefile.gnu
makefile.msvc
README
README
COPYING
Makefile.am
Makefile.in
Makefile.am
Makefile.in
TODO
bin
fanndouble.dll
fanndouble.lib
fanndoubled.dll
fanndoubled.lib
fanndoubleMT.dll
fanndoubleMT.lib
fanndoubleMTd.dll
fanndoubleMTd.lib
fannfixed.dll
fannfixed.lib
fannfixedd.dll
fannfixedd.lib
fannfixedMT.dll
fannfixedMT.lib
fannfixedMTd.dll
fannfixedMTd.lib
fannfloat.dll
fannfloat.lib
fannfloatd.dll
fannfloatd.lib
fannfloatMT.dll
fannfloatMT.lib
fannfloatMTd.dll
fannfloatMTd.lib
makefile
vs_net2003.zip
VS.NET2003
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>Chapter 1. Introduction</H1
><P
>&#13;      fann - Fast Artificial Neural Network Library is written in ANSI C. The library implements multilayer
      feedforward ANNs, up to 150 times faster than other libraries. FANN supports execution in fixed point, for fast
      execution on systems like the iPAQ.
    </P
><DIV
CLASS="section"
><H1
CLASS="section"
><A
NAME="intro.dl"
>1.1. Getting FANN</A
></H1
><P
>&#13;        Copies of FANN can be obtained from our SourceForge project page, located at
	<A
HREF="http://www.sourceforge.net/projects/fann/"
TARGET="_top"
>http://www.sourceforge.net/projects/fann/</A
>
      </P
><P
>&#13;        You can currently get FANN as source code (<TT
CLASS="filename"
>fann-*.tar.bz2</TT
>), Debian packages
	(<TT
CLASS="filename"
>fann-*.deb</TT
>), or RPM's (<TT
CLASS="filename"
>fann-*.rpm</TT
>).
      </P
><P
>&#13;        FANN is available under the terms of the
	<A
HREF="http://www.fsf.org/copyleft/lesser.html"
TARGET="_top"
>GNU Lesser General Public License</A
>.
      </P
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