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Artificial Neural Networks made easy with the FANN library

, 28 Aug 2013 CPOL
Neural networks are typically associated with specialised applications, developed only by select groups of experts. This misconception has had a highly negative effect on its popularity. Hopefully, the FANN library will help fill this gap.
fann-1_2_0.zip
fann-1.2.0
debian
changelog
compat
control
copyright
docs
libfann1-dev.dirs
libfann1-dev.examples
libfann1-dev.files
libfann1-dev.install
libfann1.dirs
libfann1.files
libfann1.install
rules
doc
fann_doc_complete_1.0.pdf
Makefile
html
src
include
Makefile.in
Makefile.am
Makefile.in
COPYING
Makefile.am
win32_dll
examples
makefile
README
Makefile.in
configure
AUTHORS
COPYING
ChangeLog
INSTALL
Makefile.am
NEWS
TODO
aclocal.m4
config.guess
config.sub
configure.in
depcomp
fann.pc.in
fann.spec.in
install-sh
ltmain.sh
missing
mkinstalldirs
benchmarks
datasets
building.test
building.train
diabetes.test
diabetes.train
gene.test
gene.train
mushroom.test
mushroom.train
robot.test
robot.train
soybean.test
soybean.train
thyroid.test
thyroid.train
two-spiral.train
pumadyn-32fm.test
pumadyn-32fm.train
two-spiral.test
parity8.train
parity8.test
parity13.test
parity13.train
Makefile
README
benchmark.sh
benchmarks.pdf
gnuplot
performance.cc
quality.cc
.cvsignore
examples
Makefile
xor.data
python
README
examples
libfann.i
makefile.gnu
makefile.msvc
libfann.pyc
MSVC++
libfann.dsp
all.dsw
simple_test.dsp
simple_train.dsp
steepness_train.dsp
xor_test.dsp
xor_train.dsp
config.in
fann_win32_dll-1_2_0.zip
changelog
compat
control
copyright
docs
libfann1-dev.dirs
libfann1-dev.examples
libfann1-dev.files
libfann1-dev.install
libfann1.dirs
libfann1.files
libfann1.install
rules
fann_doc_complete_1.0.pdf
Makefile
Makefile.in
Makefile.am
Makefile.in
COPYING
Makefile.am
makefile
README
Makefile.in
configure
AUTHORS
COPYING
ChangeLog
INSTALL
Makefile.am
NEWS
TODO
aclocal.m4
config.guess
config.sub
configure.in
depcomp
fann.pc.in
fann.spec.in
install-sh
ltmain.sh
missing
mkinstalldirs
building.test
building.train
diabetes.test
diabetes.train
gene.test
gene.train
mushroom.test
mushroom.train
robot.test
robot.train
soybean.test
soybean.train
thyroid.test
thyroid.train
two-spiral.train
pumadyn-32fm.test
pumadyn-32fm.train
two-spiral.test
parity8.train
parity8.test
parity13.test
parity13.train
Makefile
README
benchmark.sh
benchmarks.pdf
gnuplot
performance.cc
quality.cc
.cvsignore
Makefile
xor.data
README
libfann.i
makefile.gnu
makefile.msvc
libfann.pyc
libfann.dsp
all.dsw
simple_test.dsp
simple_train.dsp
steepness_train.dsp
xor_test.dsp
xor_train.dsp
config.in
bin
fanndoubled.dll
fanndoubled.lib
fanndoubleMTd.dll
fanndoubleMTd.lib
fannfixedd.dll
fannfixedd.lib
fannfixedMTd.dll
fannfixedMTd.lib
fannfloatd.dll
fannfloatd.lib
fannfloatMTd.dll
fannfloatMTd.lib
fanndouble.dll
fanndouble.lib
fanndoubleMT.dll
fanndoubleMT.lib
fannfixed.dll
fannfixed.lib
fannfixedMT.dll
fannfixedMT.lib
fannfloat.dll
fannfloat.lib
fannfloatMT.dll
fannfloatMT.lib
vs_net2003.zip
VS.NET2003
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REL="HOME"
TITLE="Fast Artificial Neural Network Library"
HREF="index.html"><LINK
REL="PREVIOUS"
TITLE="fann_set_activation_output_steepness"
HREF="r2496.html"><LINK
REL="NEXT"
TITLE="API Reference"
HREF="x2553.html"></HEAD
><BODY
CLASS="chapter"
BGCOLOR="#FFFFFF"
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WIDTH="100%"></DIV
><DIV
CLASS="chapter"
><H1
><A
NAME="php"
></A
>Chapter 6. PHP Extension</H1
><P
>These functions allow you to interact with the FANN library from PHP.</P
><P
>This extension requires the 
    <A
HREF="http://fann.sf.net/"
TARGET="_top"
>FANN</A
> library, version 1.1.0 or later.</P
><P
>&#13;      This extension supports the same activation functions as the library, a list of which can
      be found in the <A
HREF="r2030.html"
><I
>Activation Functions</I
></A
> section.
    </P
><DIV
CLASS="section"
><H1
CLASS="section"
><A
NAME="php.install"
>6.1. Installation</A
></H1
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><H2
CLASS="section"
><A
NAME="php.install.pear"
>6.1.1. Using PEAR</A
></H2
><P
>&#13;          The easiest way to install FANN-PHP is to use PEAR- if you
          have a fairly recent version of PHP installed, simply run
          <B
CLASS="command"
>pear install fann</B
>. Note that if there are
          no stable releases of FANN-PHP, you may have to specify the
          URI for the package, which can be obtained from <A
HREF="http://pecl.php.net/fann"
TARGET="_top"
>http://pecl.php.net/fann</A
>.
        </P
><P
>&#13;          If you cannot install FANN-PHP using PEAR, you can try
          following the (obsolete) instructions at <A
HREF="http://www.cs.utexas.edu/users/UTCS/online-docs/php/pear/faq.install-pecl.html"
TARGET="_top"
>http://www.cs.utexas.edu/users/UTCS/online-docs/php/pear/faq.install-pecl.html</A
>.
        </P
><P
>&#13;	  If you use one of these methods, you'll need to either
	  dl('fann.so') or add it to your php.ini
	</P
><P
>&#13;        If you use either of the above methods, you will probably need
        to be root.
      </P
></DIV
><DIV
CLASS="section"
><H2
CLASS="section"
><A
NAME="php.install.ext"
>6.1.2. Compiling into PHP</A
></H2
><P
>&#13;	  Please only use this method if using the methods outlined in
	  <A
HREF="c2519.html#php.install.pear"
><I
>Using PEAR</I
></A
> have failed.
	</P
><P
>&#13;          If you wish to compile FANN-PHP into PHP itself, you
          can. First, uncompress the package into the ext subdirectory
          of your copy of the PHP source code, and rename the
          directory to ext/fann (from fann-x.x.x).
        </P
><P
>&#13;          Next, you must rebuild the configure script- to do so, run
          <B
CLASS="command"
>./buildconf</B
> from the PHP source
          directory.
        </P
><P
>&#13;	  From here on, the procedure is similar to when you built PHP
	  originally- run <B
CLASS="command"
>./configure</B
> with your
	  desired options, plus <VAR
CLASS="parameter"
>--with-fann</VAR
>.
	</P
><P
>&#13;	  Finally, run <B
CLASS="command"
>make</B
> and <B
CLASS="command"
>make
	  install</B
>. Note that you will probably need to be
	  root for <B
CLASS="command"
>make install</B
> to work.
	</P
><P
>&#13;	  This method may require flex and bison to work- more
	  information can be obtained at <A
HREF="http://www.php.net/anoncvs.php"
TARGET="_top"
>http://www.php.net/anoncvs.php</A
>
	</P
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><A
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>Prev</A
></TD
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><A
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>Home</A
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ALIGN="right"
VALIGN="top"
><A
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>Next</A
></TD
></TR
><TR
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>fann_set_activation_output_steepness</TD
><TD
WIDTH="34%"
ALIGN="center"
VALIGN="top"
>&nbsp;</TD
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></TR
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>

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