2025-10-04T11:57:48Z

Thwien: /* Several functions of ANN */

== Logical Functions ==

Training an artificial neural network to learn logical functions is just interesting in learning the use of such a network, but not for practical use. The only interesting thing behind learning the XOR function is that in history of development of neural networks it was figured out the XOR function cannot be learned by just one neuron. But in the past it was quite difficult mathematically to find a solution to connect a few neurons together.

* [[logical XOR function]]
* logical OR function
* logical AND function

== Prediction ==

One benefit of multilayer perceptron is the possibility of prediction.

* [[Selling Icecreams]]
* [[Lottery]]

== Input Support Classes ==

* [[Using date input support class]]

Examples

2025-10-04T11:57:36Z

Thwien: /* Optimization */

2012-12-13T21:21:42Z

Thwien: /* Versions and Change-Log */

__NOTOC__
<big>'''ANN - Artificial Neural Network for PHP 5.x'''</big>

This project realizes a '''neural network topology called ''[[multilayer perceptron]]'' for PHP 5.x''' environments. The source code is based on a work by ''Eddy Young'' in 2002. Several improvements and changes on this implementation are done by ''Thomas Wien'' ([http://thwien.de thwien.de] - Düsseldorf - Germany) since 2007. You will find the PHP source in the section [[Download]]. Please, consider the [[Copyright]]. To get a short idea what is the benefit of neural networks have a look at page [[Neural Networks]].

== Donate ==

If you want to support the current and future development
of this project I would appreciate if you donate a freely amount
via paypal.

[http://ann.thwien.de/donate/donate.html Donate now]

== Overview ==

* [[Neural Networks]]
* [[Multilayer perceptron|Multilayer Perceptron]]
* [[Download]]
* [[Installation]]
* [[Examples]]
* [[Development]]
* [[FAQ]]
* [[Copyright]]

== Features ==

* Output type detection (linear or binary)
* Logging (weights and network errors)
* Client-Server model for distributed applications
* Graphical network topology as PNG image
* Displaying network details
* String association
* Classification
* Phar support (as of PHP 5.3.0)

== Versions and Change-Log ==

'''Version 2.x.x by Thomas Wien''' (Development)

* Image matrix support

'''Version 2.3.0 by Thomas Wien''' (2012-12-13) [[Download]]

* Using traits for performance reasons
* Checking php version for compatibility with ANN library
* PHP 5.4.x or above

'''Version 2.2.3 by Thomas Wien''' (2012-12-12) [[Download]]

* Bugfix: Division by zero if training time below one second
* Adding php version and sapi interface to network information
* Test running on PHP 5.4

'''Version 2.2.2 by Thomas Wien''' (2011-07-04)

* Redesign of network details
* Considering cpu limits for calculation of network execution time

'''Version 2.2.1 by Thomas Wien''' (2011-06-15)

* Bug fix: Wrong output type detection in binary networks
* Using Interface called \ANN\InterfaceLoadable to make easier decision of loadable objects.

'''Version 2.2.0 by Thomas Wien''' (2011-06-01)

* Introduction of namespaces as of PHP 5.3
* Dynamic learning rate
* \ANN\Network::setLearningRate() is protected now
* Bug fix: Wrong output type detection in some circumstances

'''Version 2.1.7 by Thomas Wien''' (2011-06-15) [[Download]]

* Bug fix: Wrong output type detection in binary networks

'''Version 2.1.6 by Thomas Wien''' (2011-06-01)

* Bug fix: Wrong output type detection in some circumstances

'''Version 2.1.5 by Thomas Wien''' (2011-05-24)

* Dividing method ANN_Math::random() in ANN_Math::randomDelta() and ANN_Math::randomWeight()
* Better implementation of printing network details including __invoke() und __toString() converting

'''Version 2.1.4 by Thomas Wien''' (2011-05-23)

* Better calculation of remaining time of running the network
* Fixing bug: generating random delta not correct
* Adding momentum value
* Simplified ANN_Neuron::adjustWeights()
* Remove possible wrong calculation in ANN_Neuron::adjustWeights() on linear networks
* Simplify ANN_Layer::calculateHiddenDeltas()

'''Version 2.1.3 by Thomas Wien''' (2010-01-06)

* Date input support class

'''Version 2.1.2 by Thomas Wien''' (2009-12-26)

* Classification support
* Phar support (as of PHP 5.3.0)

'''Version 2.1.1 by Thomas Wien''' (2009-12-23)

* String association support

'''Version 2.1.0 by Thomas Wien''' (2009-12-22)

* Checking parameter counts on ANN_Values::input() and ANN_Values::output()
* Removing protected method ANN_Neuron::getInputs()
* Fixing bug: Error tolerance calculation in ANN_Network::isTrainingComplete()
* Switching to Git version control
* Moving all experimental code into branch
* Removing all experimental code from master branch (due to performance and future development)

'''Version 2.0.7 by Thomas Wien''' (2009-01-01) [[Download]]

* Removing protected method ANN_Neuron::setOutput()
* Removing protected unused method ANN_Layer::getInputs()
* Removing protected unused property ANN_Layer::$arrInputs
* More detailed exceptions to ANN_Filesystem::saveToFile()
* Different distribution of activation calls across the layers
* Different adjustments in ANN_Neuron::adjustWeights() depending on output type
* Removing static local variables from ANN_Network::getNextIndexInputsToTrain()
* Increasing math precision
* Using class constants for output types (increasing performance)
* Fixing bug: ANN_Neuron::getOutput() is float and not array

'''Version 2.0.6 by Thomas Wien''' (2008-12-18)

* Printing network details of output differences to their desired values
* Complete rewritten code standard of variables
* New class ANN_Values for defining input and output values
* Code examples to phpdoc
* Internal math precision defaults to 5

'''Version 2.0.5 by Thomas Wien''' (2008-12-16)

* Adjustable output error tolerance between 0 and 10 per cent
* Internal rounding of floats for performance issues
* Loading class for all ANN classes (SPL autoload)
* Renaming filename of ANN_Maths class
* Improving code standard
* Fixing bug: Comparison in ANN_InputValue and ANN_OutputValue

'''Version 2.0.4 by Thomas Wien''' (2008-01-27)

* Weight decay
* QuickProp algorithm (experimental)
* RProp algorithm (experimental)
* Linear saturated activation function (experimental)
* Individual learning rate algorithm (experimental)
* Reducing of overfitting (no training if input pattern produces desired output)
* Increasing performance on activation
* Increasing performance on testing all patterns to their desired outputs
* Increasing performance on calculating hidden deltas
* Increasing performance by defining layer relation by construction
* More details to printNetwork()
* Fixing bug: learning rate is not part of saved delta value

'''Version 2.0.3 by Thomas Wien''' (2008-01-17)

* Support for dynamic learning rate
* Automatic epoch determination
* Automatic output type detection
* Shuffling input patterns each epoch instead of randomized pattern access
* Logging of network errors
* Logging on each epoch instead of each training step
* Avoiding distributed internal calls of setMomentum() and setLearningRate()
* Extending display of network details
* Fixing bug: runtime error on call of setMomentum()

'''Version 2.0.2 by Thomas Wien''' (2008-01-14)

* Client-Server model for distributed applications
* Calculating total network error for csv logging

'''Version 2.0.1 by Thomas Wien''' (2008-01-06)

* Separation of classes to several files
* Version control by Subversion
* Performance issues
* Graphical output of neural network topology
* Logging of weights to csv file

'''Version 2.0.0 by Thomas Wien''' (2007-12-17)

* PHP 5.x support
* PHPDoc documentation
* Momentum support
* Avoiding network overfitting
* Linear / binary output
* ANN_InputValue + ANN_OutputValue classes
* Exceptions
* Threshold function
* Hyperbolic tangent transfer function
* Several performance issues
* Avoiding array_keys() & srand() due to performance
* Changes in saving and loading network
* Printing network details to browser
* Fixing bug: initializing inputs to all hidden layers
* Fixing bug: training for first hidden layer was skipped

'''Version 1.0 by Eddy Young''' (2002)

* Initial version

== Todo ==

* More Examples
* Performance check depending on host system
* Wiki: More details to installation and use
* PHPDoc: More details to documentation
* Improving license agreement of source code
* Adding error codes to exceptions
* Exception if network error does not reach minimum

Download

2012-12-13T21:16:06Z

Thwien: /* Version 2.3 */

<big>'''ANN - Artificial Neural Network for PHP 5.x'''</big>

This page offers to download the current stable version of ANN implementation for PHP 5.x. Go to [[Installation]] section to get information about requirements and on how to implement these PHP libraries into your project.

== Version 2.3 ==

=== Version '''2.3.0''' (2012-12-13) '''''stable''''' (PHP 5.4 or above) ===

'''Author: Thomas Wien'''

* [http://ann.thwien.de/downloads/ann230.zip Download - ann230.zip] (47 KB)
* [http://ann.thwien.de/downloads/ann230.tar.gz Download - ann230.tar.gz] (21 KB)
* [http://ann.thwien.de/downloads/ann230.phar.gz Download (Phar) - ann230.phar.gz] (22 KB)

'''MD5 finger prints'''

* fd5d3ded9761dd745621ab06460e3e21 ann230.phar.gz
* dd1e604c7e16e666a98dc51f6dc38507 ann230.tar.gz
* 3ee3741ee830d4a5a095f122e5858ae6 ann230.zip

'''Documentation'''

* [http://ann.thwien.de/phpdoc/ Documentation (HTML online)]

* [http://ann.thwien.de/downloads/ann230.phpdoc.zip Documentation (HTML download, zip compressed)]

'''Change-Log'''

* Using traits for performance reasons
* Checking php version for compatibility with ANN library

== Version 2.2 ==

=== Version '''2.2.3''' (2012-12-12) '''''stable''''' (PHP 5.3 or above) ===

'''Author: Thomas Wien'''

* [http://ann.thwien.de/downloads/ann223.zip Download - ann223.zip] (47 KB)
* [http://ann.thwien.de/downloads/ann223.tar.gz Download - ann223.tar.gz] (21 KB)
* [http://ann.thwien.de/downloads/ann223.phar.gz Download (Phar) - ann223.phar.gz] (22 KB)

'''MD5 finger prints'''

* 6e4f100df2d3bbb99753b224c1348fdf ann223.phar.gz
* ae3ad1cc66f8803c7bf863702f90ba67 ann223.tar.gz
* 8e6f6de3b747f42450d27fff70aa2514 ann223.zip

'''Documentation'''

* [http://ann.thwien.de/downloads/ann223.phpdoc.zip Documentation (HTML download, zip compressed)]

'''Change-Log'''

* Bugfix: Division by zero if training time below one second
* Adding php version and sapi interface to network information
* Test running on PHP 5.4

=== Version '''2.2.2''' (2011-07-04) '''''obsolete''''' ===

'''Author: Thomas Wien'''

* [http://ann.thwien.de/downloads/ann222.zip Download - ann222.zip] (46 KB)
* [http://ann.thwien.de/downloads/ann222.tar.gz Download - ann222.tar.gz] (21 KB)
* [http://ann.thwien.de/downloads/ann222.phar.gz Download (Phar) - ann222.phar.gz] (22 KB)

'''MD5 finger prints'''

* 20b3123169666f0b245b172126e5da96 ann222.phar.gz
* 56b3bad2cf8850aa13f10a5c4ae38cd9 ann222.tar.gz
* 2a12e0b8baf89135db35ae5aee1d1fe7 ann222.zip

'''Documentation'''

* [http://ann.thwien.de/downloads/ann222.phpdoc.zip Documentation (HTML download, zip compressed)]

'''Change-Log'''

* Redesign of network details
* Considering cpu limits for calculation of network execution time

=== Version '''2.2.1''' (2011-06-15) '''''obsolete''''' ===

'''Author: Thomas Wien'''

* [http://ann.thwien.de/downloads/ann221.zip Download - ann221.zip] (39 KB)
* [http://ann.thwien.de/downloads/ann221.tar.gz Download - ann221.tar.gz] (19 KB)
* [http://ann.thwien.de/downloads/ann221.phar.gz Download (Phar) - ann221.phar.gz] (21 KB)

'''MD5 finger prints'''

* 7a366b40c05bb142f56412696dc86592 ann221.phar.gz
* f892a716b59ba77bc073d4e48a3c70e7 ann221.tar.gz
* 1311691e545ee549bfc4a67a8211ea4f ann221.zip

'''Documentation'''

* [http://ann.thwien.de/downloads/ann221.phpdoc.zip Documentation (HTML download, zip compressed)]

'''Change-Log'''

* Bug fix: Wrong output type detection in binary networks
* Using Interface called \ANN\InterfaceLoadable to make easier decision of loadable objects.

=== Version '''2.2.0''' (2011-06-01) '''''obsolete''''' ===

'''Author: Thomas Wien'''

* [http://ann.thwien.de/downloads/ann220.zip Download - ann220.zip] (39 KB)
* [http://ann.thwien.de/downloads/ann220.tar.gz Download - ann220.tar.gz] (19 KB)
* [http://ann.thwien.de/downloads/ann220.phar.gz Download (Phar) - ann220.phar.gz] (21 KB)

'''MD5 finger prints'''

* d25f4b817539cdcb404b93c61fe76f47 ann220.phar.gz
* 6599d8bbbdeae02b0ffbbf5d7cb3b426 ann220.tar.gz
* a79e15ecd9a81038982affd4f8a1cc51 ann220.zip

'''Documentation'''

* [http://ann.thwien.de/downloads/ann220.phpdoc.zip Documentation (HTML download, zip compressed)]

'''Change-Log'''

* Introduction of namespaces as of PHP 5.3
* Dynamic learning rate
* \ANN\Network::setLearningRate() is protected now
* Bug fix: Wrong output type detection in some circumstances

== Version 2.1 ==

=== Version '''2.1.7''' (2011-06-15) '''''stable''''' (PHP 5.2) ===

'''Author: Thomas Wien'''

* [http://ann.thwien.de/downloads/ann217.zip Download - ann217.zip] (37 KB)
* [http://ann.thwien.de/downloads/ann217.tar.gz Download - ann217.tar.gz] (18 KB)
* [http://ann.thwien.de/downloads/ann217.phar.gz Download (Phar) - ann217.phar.gz] (20 KB)

'''MD5 finger prints'''

* e57c2dd57f657e75c6b69dec816ebbb3 ann217.phar.gz
* 6dea816713cb3e8b8e9dccf581dc9cf7 ann217.tar.gz
* 15a6080e0376c7aae18d079f44d3f28c ann217.zip

'''Documentation'''

* [http://ann.thwien.de/downloads/ann217.phpdoc.zip Documentation (HTML download, zip compressed)]

'''Change-Log'''

* Bug fix: Wrong output type detection in binary networks

=== Version '''2.1.6''' (2011-06-01) '''''obsolete''''' ===

'''Author: Thomas Wien'''

* [http://ann.thwien.de/downloads/ann216.zip Download - ann216.zip] (37 KB)
* [http://ann.thwien.de/downloads/ann216.tar.gz Download - ann216.tar.gz] (18 KB)
* [http://ann.thwien.de/downloads/ann216.phar.gz Download (Phar) - ann216.phar.gz] (20 KB)

'''MD5 finger prints'''

* 4acbdb23bed762438a0c06c4f23f6a38 ann216.phar.gz
* 7cb3a1b1e17e1272dc02fa7fcbc7d964 ann216.tar.gz
* 9168c4f62693225d9a2785d7a72524de ann216.zip

'''Documentation'''

* [http://ann.thwien.de/downloads/ann216.phpdoc.zip Documentation (HTML download, zip compressed)]

'''Change-Log'''

* Bug fix: Wrong output type detection in some circumstances

=== Version '''2.1.5''' (2011-05-24) '''''obsolete''''' ===

'''Author: Thomas Wien'''

* [http://ann.thwien.de/downloads/ann215.zip Download - ann215.zip] (37 KB)
* [http://ann.thwien.de/downloads/ann215.tar.gz Download - ann215.tar.gz] (18 KB)
* [http://ann.thwien.de/downloads/ann215.phar.gz Download (Phar) - ann215.phar.gz] (20 KB)

'''MD5 finger prints'''

* 96ad7c92b08a44d89fd4a7a17b463a9e ann215.phar.gz
* 88ffad519058881f90eb24b4363d0d94 ann215.tar.gz
* 2d293c4f92d0d17f3e0e5ba8e79e3dbd ann215.zip

'''Documentation'''

* [http://ann.thwien.de/downloads/ann215.phpdoc.zip Documentation (HTML download, zip compressed)]

'''Change-Log'''

* Dividing method ANN_Math::random() in ANN_Math::randomDelta() and ANN_Math::randomWeight()
* Better implementation of printing network details including __invoke() und __toString() converting

=== Version '''2.1.4''' (2011-05-23) '''''obsolete''''' ===

'''Author: Thomas Wien'''

* [http://ann.thwien.de/downloads/ann214.zip Download - ann214.zip] (36 KB)
* [http://ann.thwien.de/downloads/ann214.tar.gz Download - ann214.tar.gz] (18 KB)
* [http://ann.thwien.de/downloads/ann214.phar.gz Download (Phar) - ann214.phar.gz] (20 KB)

'''MD5 finger prints'''

* 998d377de058b959c5ad83141b168e5e ann214.phar.gz
* 12b7a028021477555613d533410526e0 ann214.tar.gz
* e6762c5f667e1710ac7efdca70cb7c41 ann214.zip

'''Documentation'''

* [http://ann.thwien.de/downloads/ann214.phpdoc.zip Documentation (HTML download, zip compressed)]

'''Change-Log'''

* Better calculation of remaining time of running the network
* Fixing bug: generating random delta not correct
* Adding momentum value
* Simplified ANN_Neuron::adjustWeights()
* Remove possible wrong calculation in ANN_Neuron::adjustWeights() on linear networks
* Simplify ANN_Layer::calculateHiddenDeltas()

=== Version '''2.1.3''' (2010-01-06) '''''obsolete''''' ===

'''Author: Thomas Wien'''

* [http://ann.thwien.de/downloads/ann213.zip Download - ann213.zip] (34 KB)
* [http://ann.thwien.de/downloads/ann213.tar.gz Download - ann213.tar.gz] (18 KB)
* [http://ann.thwien.de/downloads/ann213.phar.gz Download (Phar) - ann213.phar.gz] (20 KB)

'''MD5 finger prints'''

* ae8c5eb97e1984c836df53cfffb06294 ann213.phar.gz
* 0a375525863eb3f9663b64655bb7b637 ann213.tar.gz
* 981709c7da085a17994cb71ee603f9e0 ann213.zip

'''Documentation'''

* [http://ann.thwien.de/downloads/ann213.phpdoc.zip Documentation (HTML download, zip compressed)]

'''Change-Log'''

* Introduction to date input support class

=== Version '''2.1.2''' (2009-12-26) '''''obsolete''''' ===

'''Author: Thomas Wien'''

* [http://ann.thwien.de/downloads/ann212.zip Download - ann212.zip] (31 KB)
* [http://ann.thwien.de/downloads/ann212.tar.gz Download - ann212.tar.gz] (16 KB)
* [http://ann.thwien.de/downloads/ann212.phar.gz Download (Phar) - ann212.phar.gz] (18 KB)

'''MD5 finger prints'''

* 0a0e350a56941a99bbf55537978e0bdb ann212.phar.gz
* 3cdea04e49898cdb2f0ab66864d4b4ad ann212.tar.gz
* 8e63c8b89293ee43337bfac0ee4fa67c ann212.zip

'''Documentation'''

* [http://ann.thwien.de/phpdoc/ Documentation (HTML online)]

* [http://ann.thwien.de/downloads/ann212_phpdoc.zip Documentation (HTML download, zip compressed)]

'''Change-Log'''

* Introduction to classification with ANN_Classification (Example see: [[Detection of language with classification]])
* Phar support (as of PHP 5.3.0)

=== Version '''2.1.1''' (2009-12-23) '''''obsolete''''' ===

'''Author: Thomas Wien'''

* [http://ann.thwien.de/downloads/ann211.zip Download - ann211.zip] (29 KB)
* [http://ann.thwien.de/downloads/ann211.tar.gz Download - ann211.tar.gz] (16 KB)

'''Documentation'''

* [http://ann.thwien.de/downloads/ann211_phpdoc.zip Documentation (HTML download, zip compressed)]

'''Change-Log'''

* Introduction to string association with ANN_StringValue (Example see: [[Detection of language]])

=== Version '''2.1.0''' (2009-12-22) '''''obsolete''''' ===

'''Author: Thomas Wien'''

* [http://ann.thwien.de/downloads/ann210.zip Download - ann210.zip] (27 KB)
* [http://ann.thwien.de/downloads/ann210.tar.gz Download - ann210.tar.gz] (15 KB)

'''Documentation'''

* [http://ann.thwien.de/downloads/ann210_phpdoc.zip Documentation (HTML download, zip compressed)]

'''Change-Log'''
* Default learning rate to 0.7
* Code changes referring profiling
* Change printing network details formatting
* Remove trailing php end tag
* Code-Standard
* Remove momentum, precision and unused math methods
* Remove unused methods
* Remove error weight derivative
* Removing weight decay
* Removing dynamic learning rate
* Removing algorithm switches and experimental algorithms. Just standard back propagation algorithm used
* Renaming class file names
* Learning rate and delta using
* Using learning rate
* Rounding of network error value

== Version 2.0 ==

=== Version '''2.0.7''' (2009-01-01) '''''stable''''' ===

'''Author: Thomas Wien'''

* [http://ann.thwien.de/downloads/ann207.zip Download - ann207.zip] (32 KB)
* [http://ann.thwien.de/downloads/ann207.tar.gz Download - ann207.tar.gz] (34 KB)

'''Documentation'''

* [http://ann.thwien.de/downloads/ann207_phpdoc.zip Documentation (HTML download, zip compressed)]

'''Change-Log'''
* Removing protected method ANN_Neuron::setOutput()
* Removing protected unused method ANN_Layer::getInputs()
* Removing protected unused property ANN_Layer::$arrInputs
* More detailed exceptions to ANN_Filesystem::saveToFile()
* Different distribution of activation calls across the layers
* Different adjustments in ANN_Neuron::adjustWeights() depending on output type
* Removing static local variables from ANN_Network::getNextIndexInputsToTrain()
* Increasing math precision
* Using class constants for output types (increasing performance)
* Fixing bug: ANN_Neuron::getOutput() is float and not array

=== Version '''2.0.6''' (2008-12-18) '''''obsolete''''' ===

'''Author: Thomas Wien'''

* [http://ann.thwien.de/downloads/ann206.zip Download - ann206.zip] (30 KB)
* [http://ann.thwien.de/downloads/ann206.tar.gz Download - ann206.tar.gz] (33 KB)

'''Documentation'''

* [http://ann.thwien.de/downloads/ann206_phpdoc.zip Documentation (HTML download, zip compressed)]

'''Change-Log'''
* Printing network details of output differences to their desired values
* Complete rewritten code standard of variables
* New class ANN_Values for defining input and output values
* Code examples to phpdoc
* Internal math precision defaults to 5

=== Version '''2.0.5''' (2008-12-16) '''''obsolete''''' ===

'''Author: Thomas Wien'''

* [http://ann.thwien.de/downloads/ann205.zip Download - ann205.zip] (28 KB)
* [http://ann.thwien.de/downloads/ann205.tar.gz Download - ann205.tar.gz] (31 KB)

'''Documentation'''

* [http://ann.thwien.de/downloads/ann205_phpdoc.zip Documentation (HTML download, zip compressed)]

'''Change-Log'''

* Adjustable output error tolerance between 0 and 10 per cent
* Internal rounding of floats for performance issues
* Loading class for all ANN classes (SPL autoload)
* Renaming filename of ANN_Maths class
* Improving code standard
* Fixing bug: Comparision in ANN_InputValue and ANN_OutputValue

=== Version '''2.0.4''' (2008-01-27) '''''obsolete''''' ===

'''Author: Thomas Wien'''

* [http://ann.thwien.de/downloads/ann204.zip Download - ann204.zip] (25 KB)
* [http://ann.thwien.de/downloads/ann204.tar.gz Download - ann204.tar.gz] (29 KB)

'''Change-Log'''

* Weight decay
* QuickProp algorithm (experimental)
* RProp algorithm (experimental)
* Linear saturated activation function (experimental)
* Individual learning rate algorithm (experimental)
* Reducing of overfitting (no training if input pattern produces desired output)
* Increasing performance on activation
* Increasing performance on testing all patterns to their desired outputs
* Increasing performance on calculating hidden deltas
* Increasing performance by defining layer relation by construction
* More details to printNetwork()
* Fixing bug: learning rate is not part of saved delta value

=== Version '''2.0.3''' (2008-01-17) '''''obsolete''''' ===

'''Author: Thomas Wien'''

* [http://ann.thwien.de/downloads/ann203.zip Download - ann203.zip] (22 KB)
* [http://ann.thwien.de/downloads/ann203.tar.gz Download - ann203.tar.gz] (20 KB)

'''Change-Log'''

* Support for dynamic learning rate
* Automatic epoch determination
* Automatic output type detection
* Shuffling input patterns each epoch instead of randomized pattern access
* Bug fix: runtime error on call of setMomentum()
* Logging of network errors
* Logging on each epoch instead of each training step
* Avoiding distributed internal calls of setMomentum() and setLearningRate()
* Extending display of network details

=== Version '''2.0.2''' (2008-01-14) '''''obsolete''''' ===

'''Author: Thomas Wien'''

* [http://ann.thwien.de/downloads/ann202.zip Download - ann202.zip] (21 KB)
* [http://ann.thwien.de/downloads/ann202.tar.gz Download - ann202.tar.gz] (17 KB)

'''Change-Log'''

* Client-Server model for distributed applications
* Calculating total network error for csv logging

=== Version '''2.0.1''' (2008-01-06) '''''obsolete''''' ===

'''Author: Thomas Wien'''

* [http://ann.thwien.de/downloads/ann201.zip Download - ann201.zip] (19 KB)
* [http://ann.thwien.de/downloads/ann201.tar.gz Download - ann201.tar.gz] (16 KB)

'''Change-Log'''

* Separation of classes to several files
* Version control by Subversion
* Performance issues
* Graphical output of neural network topology
* Logging of weights to csv file

=== Version '''2.0.0''' (2007-12-17) '''''obsolete''''' ===

'''Author: Thomas Wien'''

* [http://ann.thwien.de/downloads/ann200.zip Download - ann200.zip] (6 KB)
* [http://ann.thwien.de/downloads/ann200.tar.gz Download - ann200.tar.gz] (6 KB)

'''Change-Log'''

* PHP 5.x support
* PHPDoc documentation
* Momentum support
* Avoiding network overfitting
* Linear / binary output
* ANN_InputValue + ANN_OutputValue classes
* Exceptions
* Threshold function
* Tangens hyperbolicus transfer function
* Several performance issues
* Avoiding array_keys() & srand() due to performance
* Changes in saving and loading network
* Printing network details to browser
* Fixing bug: initializing inputs to all hidden layers
* Fixing bug: training for first hidden layer was skipped

== Version 1.0 ==

=== Version '''1.0''' (2002) ===

'''Author: Eddy Young'''

* [http://ann.thwien.de/downloads/ann100.zip Download - ann100.zip] (6 KB)

'''Change-Log'''

* Initial version

Copyright

2012-12-12T21:23:20Z

Thwien:

The copyright conditions are included in the source files.

<code>
* Artificial Neural Network - Version 2.2
*
* For updates and changes visit the project page at http://ann.thwien.de/
*
*
*
* LICENCE
*
* The BSD 2-Clause License
*
* http://opensource.org/licenses/bsd-license.php
*
* Copyright (c) 2002, Eddy Young
* Copyright (c) 2007 - 2012, Thomas Wien
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
*
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
*
* 2. Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
* COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*
* @author Eddy Young <jeyoung_at_priscimon_dot_com>
* @author Thomas Wien <info_at_thwien_dot_de>
* @version ANN Version 1.0 by Eddy Young
* @version ANN Version 2.2 by Thomas Wien
* @copyright Copyright (c) 2002 by Eddy Young
* @copyright Copyright (c) 2007-2012 by Thomas Wien
* @package ANN
</code>