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Class: Back Propagation Scale

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Name: Back Propagation Scale Support forum
Base name: back-propagation
Description: Implement neural networks using back propagation
Version: -
Required PHP version: 3.0
License: Free For Educational Use
 
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Author

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Name: freedelta <e-mail contact>
Published packages: 2 Browse this author's classes Browse this author's classes
Country: France France - PHP jobs in France
Home page: http://freedelta.free.fr/

Innovation Award

PHP Programming Innovation award nominee
March 2010
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 Back propagation is a well known algorithm to implement neural networks.

It works by self-adjusting the weights of each neuron by propagating from the output to the input weights by evaluating the difference between the expected results and the current results during the training phase.

This class provides a PHP implementation of the back propagation algorithm.

Manuel Lemos

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Detailed description

This class can be used to implement neural networks using back propagation.

It can setup a neural network work with a given number of layers.

The class takes a data set and a test output data set and runs the neural network using back propagation to to adjust weights based on network errors.

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Files

File Role Description
Accessible without login Plain text file class.BackPropagationScale.php Class BackPropagation With Scale
Accessible without login Plain text file results Output Output data backpropagation
Download all files: back-propagation.tar.gz back-propagation.zip
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