Fast Artificial Neural Network Library is a free open source neural network library, it uses C to achieve full connectivity and dilute support for multi-layer artificial neural network connections, and supports fixed and floating-point cross-platform operation. Library contains easy to handle training data framework. It is easy to use, universal, comprehensive documentation and quick. At present, PHP, C++,. NET, Ada, Python, Delphi, Octave, Ruby, Prolog Pure Data and Mathematica bindings. The library is accompanied with an example of how to use the library and on the recommendations of the reference manual, available in this library also has a graphical user interface.

fann-2.1.0
..........\debian
..........\......\changelog
..........\......\compat
..........\......\control
..........\......\copyright
..........\......\docs
..........\......\libfann2-dev.dirs
..........\......\libfann2-dev.examples
..........\......\libfann2-dev.files
..........\......\libfann2-dev.install
..........\......\libfann2.dirs
..........\......\libfann2.files
..........\......\libfann2.install
..........\......\libfann2-py.dirs
..........\......\libfann2-py.files
..........\......\libfann2-py.install
..........\......\rules
..........\doc
..........\...\advancedusage.txt
..........\...\gettingstarted.txt
..........\...\theory.txt
..........\...\fixedpointusage.txt
..........\...\installation.txt
..........\...\fann_en.pdf
..........\src
..........\...\include
..........\...\.......\config.h
..........\...\.......\fann.h
..........\...\.......\doublefann.h
..........\...\.......\fann_internal.h
..........\...\.......\floatfann.h
..........\...\.......\fann_data.h
..........\...\.......\fixedfann.h
..........\...\.......\compat_time.h
..........\...\.......\fann_activation.h
..........\...\.......\fann_cascade.h
..........\...\.......\fann_error.h
..........\...\.......\fann_train.h
..........\...\.......\fann_io.h
..........\...\.......\Makefile.am
..........\...\.......\Makefile.in
..........\...\Makefile.am
..........\...\Makefile.in
..........\...\COPYING
..........\...\doublefann.c
..........\...\floatfann.c
..........\...\fixedfann.c
..........\...\fann.c
..........\...\fann_io.c
..........\...\fann_train.c
..........\...\fann_train_data.c
..........\...\fann_error.c
..........\...\fann_cascade.c
..........\README
..........\configure.in
..........\aclocal.m4
..........\Makefile.am
..........\Makefile.in
..........\fann.pc.in
..........\fann.spec.in
..........\configure
..........\AUTHORS
..........\COPYING
..........\ChangeLog
..........\INSTALL
..........\NEWS
..........\TODO
..........\config.guess
..........\config.sub
..........\depcomp
..........\install-sh
..........\ltmain.sh
..........\missing
..........\mkinstalldirs
..........\benchmarks
..........\..........\datasets
..........\..........\........\abelone.test
..........\..........\........\abelone.train
..........\..........\........\bank32fm.test
..........\..........\........\bank32fm.train
..........\..........\........\bank32nh.test
..........\..........\........\bank32nh.train
..........\..........\........\building.test
..........\..........\........\building.train
..........\..........\........\census-house.test
..........\..........\........\census-house.train
..........\..........\........\diabetes.test
..........\..........\........\diabetes.train
..........\..........\........\gene.test
..........\..........\........\gene.train
..........\..........\........\kin32fm.test
..........\..........\........\kin32fm.train
..........\..........\........\mushroom.test
..........\..........\........\mushroom.train
..........\..........\........\parity13.test
..........\..........\........\parity13.train
..........\..........\........\parity8.test
..........\..........\........\parity8.train
..........\..........\........\pumadyn-32fm.test

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