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Class: Back Propagation Scale

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  Classes of freedelta  >  Back Propagation Scale  >  Download .tar.gz .zip  >  Support forum Support forum (3)  >  Blog Blog  >  RSS 1.0 feed RSS 2.0 feed Latest changes  
Name: Back Propagation Scale
Support forum Support forum
Base name: back-propagation
Description: Implement neural networks using back propagation
Related classes: , , , , , , ,
Version: -
PHP version: 3.0
License: Free For Educational Use
All time users: 629 users
All time rank: 3998
Week users: 1 user
Week rank: 2434
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Author: freedelta <e-mail contact>
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Country: France France - PHP jobs in France
Age: 52
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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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  Innovation Award  
PHP Programming Innovation award nominee
March 2010
Number 2
 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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Accessible without login Plain text file class.BackPropagationScale.php Class BackPropagation With Scale
Accessible without login Plain text file results Output Output data backpropagation

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