FANN-2.2.0-Source
所属分类：人工智能/神经网络/深度学习
开发工具：C/C++
文件大小：2298KB
下载次数：25
上传日期：2013-06-09 11:10:35
上 传 者：
dsfdsf
说明： FANN 2.20 Source code.Fast Artificial Neural Network Library是一个免费开源的神经网络库，它用C实现了支持全连接及稀连接的多层人工神经网络，并且支持定点和浮点数的跨平台运行。库中包含有易于处理训练数据的框架。它易于使用、通用、文档完备并且快速。目前已有PHP, C++, .NET, Ada, Python, Delphi, Octave, Ruby, Prolog Pure Data 和 Mathematica的绑定。库中还附有一本带例子和关于如何使用本库的建议的参考手册，本库也有一个可用的图形用户接口
(FANN 2.20 Source code.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.)
文件列表:
FANN-2.2.0-Source\VS2010\fannfixed\fannfixed.filters (2436, 2012-01-24)
FANN-2.2.0-Source\VS2010\fannfixed\fannfixed.vcxproj (5472, 2012-01-24)
FANN-2.2.0-Source\VS2010\momentums\momentums.vcxproj.filters (225, 2012-01-24)
FANN-2.2.0-Source\VS2010\momentums\momentums.vcxproj (4341, 2012-01-24)
FANN-2.2.0-Source\VS2010\fann.sln (7915, 2012-01-24)
FANN-2.2.0-Source\VS2010\xor_train\xor_train.vcxproj (4636, 2012-01-24)
FANN-2.2.0-Source\VS2010\xor_train\xor_train.vcxproj.filters (225, 2012-01-24)
FANN-2.2.0-Source\VS2010\simple_train_float\simple_train_float.vcxproj (4639, 2012-01-24)
FANN-2.2.0-Source\VS2010\simple_train_float\simple_train_float.vcxproj.filters (228, 2012-01-24)
FANN-2.2.0-Source\VS2010\scaling_test\scaling_test.vcxproj.filters (233, 2012-01-24)
FANN-2.2.0-Source\VS2010\scaling_test\scaling_test.vcxproj (4435, 2012-01-24)
FANN-2.2.0-Source\VS2010\simple_train_double\simple_train_double.vcxproj.filters (228, 2012-01-24)
FANN-2.2.0-Source\VS2010\simple_train_double\simple_train_double.vcxproj (4424, 2012-01-24)
FANN-2.2.0-Source\VS2010\xor_cpp_sample\xor_cpp_sample.vcxproj.filters (233, 2012-01-24)
FANN-2.2.0-Source\VS2010\xor_cpp_sample\xor_cpp_sample.vcxproj (4435, 2012-01-24)
FANN-2.2.0-Source\VS2010\xor_test_fixed\xor_test_fixed.vcxproj (4494, 2012-01-24)
FANN-2.2.0-Source\VS2010\xor_test_fixed\xor_test_fixed.vcxproj.filters (224, 2012-01-24)
FANN-2.2.0-Source\VS2010\fanndouble\fanndouble.vcxproj (5475, 2012-01-24)
FANN-2.2.0-Source\VS2010\fanndouble\fanndouble.vcxproj.filters (2436, 2012-01-24)
FANN-2.2.0-Source\VS2010\xor_test_float\xor_test_float.vcxproj (4635, 2012-01-24)
FANN-2.2.0-Source\VS2010\xor_test_float\xor_test_float.vcxproj.filters (224, 2012-01-24)
FANN-2.2.0-Source\VS2010\scaling_train\scaling_train.vcxproj (4436, 2012-01-24)
FANN-2.2.0-Source\VS2010\scaling_train\scaling_train.vcxproj.filters (234, 2012-01-24)
FANN-2.2.0-Source\VS2010\robot\robot.vcxproj (4428, 2012-01-24)
FANN-2.2.0-Source\VS2010\robot\robot.vcxproj.filters (226, 2012-01-24)
FANN-2.2.0-Source\VS2010\fannfloat\fannfloat.vcxproj (5318, 2012-01-24)
FANN-2.2.0-Source\VS2010\fannfloat\fannfloat.vcxproj.filters (2436, 2012-01-24)
FANN-2.2.0-Source\VS2010\cascade_train\cascade_train.vcxproj.filters (229, 2012-01-24)
FANN-2.2.0-Source\VS2010\cascade_train\cascade_train.vcxproj (4345, 2012-01-24)
FANN-2.2.0-Source\VS2010\mushroom\mushroom.vcxproj.filters (229, 2012-01-24)
FANN-2.2.0-Source\VS2010\mushroom\mushroom.vcxproj (4431, 2012-01-24)
FANN-2.2.0-Source\VS2010\steepness_train\steepness_train.vcxproj (4438, 2012-01-24)
FANN-2.2.0-Source\VS2010\steepness_train\steepness_train.vcxproj.filters (236, 2012-01-24)
FANN-2.2.0-Source\bin\fannfloat.lib (42424, 2012-01-24)
FANN-2.2.0-Source\bin\fanndouble.dll (63488, 2012-01-24)
FANN-2.2.0-Source\bin\fannfloat.dll (65024, 2012-01-24)
FANN-2.2.0-Source\bin\fanndouble.lib (42626, 2012-01-24)
FANN-2.2.0-Source\bin\simple_train_float.exe (46592, 2012-01-24)
FANN-2.2.0-Source\bin\xor_test_float.exe (47616, 2012-01-24)
... ...
Fast Artificial Neural Network Library (FANN)
Fast Artificial Neural Network Library is a free open source neural network
library, which implements multilayer artificial neural networks in C with
support for both fully connected and sparsely connected networks.
Cross-platform execution in both fixed and floating point are supported.
It includes a framework for easy handling of training data sets. It is easy to
use, versatile, well documented, and fast. Bindings to more than 15 programming
languages are available. An easy to read introduction article and a reference
manual accompanies the library with examples and recommendations on how to use
the library. Several graphical user interfaces are also available for the
library.
FANN Features:
* Multilayer Artificial Neural Network Library in C
* Backpropagation training (RPROP, Quickprop, Batch, Incremental)
* Evolving topology training which dynamically builds and trains the ANN (Cascade2)
* Easy to use (create, train and run an ANN with just three function calls)
* Fast (up to 150 times faster execution than other libraries)
* Versatile (possible to adjust many parameters and features on-the-fly)
* Well documented (An easy to read introduction article, a thorough reference manual, and a 50+ page university report describing the implementation considerations etc.)
* Cross-platform (configure script for linux and unix, dll files for windows, project files for MSVC++ and Borland compilers are also reported to work)
* Several different activation functions implemented (including stepwise linear functions for that extra bit of speed)
* Easy to save and load entire ANNs
* Several easy to use examples
* Can use both floating point and fixed point numbers (actually both float, double and int are available)
* Cache optimized (for that extra bit of speed)
* Open source, but can still be used in commercial applications (licenced under LGPL)
* Framework for easy handling of training data sets
* Graphical Interfaces
* Language Bindings to a large number of different programming languages
* Widely used (approximately 100 downloads a day)
To get started with FANN, go to the FANN help site (http://leenissen.dk/fann/wp/help/), which will include links to all the available resources.
For more information about FANN, please refer to the FANN website:
http://leenissen.dk/fann/wp/
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