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Back Propagation Scale: Implement neural networks using back propagation

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Last Updated Ratings Unique User Downloads Download Rankings  
2010-03-29 (4 years ago) RSS 2.0 feedNot enough user ratingsTotal: 989 This week: 1All time: 3,438 This week: 1,488Up
Version License PHP version Categories  
back-propagation 1.0.0Free For Educatio...3.0PHP 5, Artificial intelligence
Description Author  

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.

Innovation Award  
PHP Programming Innovation award nominee
March 2010
Number 2


Prize: One book of choice by Apress
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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Name: freedelta <contact>
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Country: France France
Age: 55
All time rank: 153049 in France France
Week rank: 1140 Up31 in France France Up
Innovation award
Innovation award
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  Files folder image 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

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 User Comments (1)  
 
Great job.
8 months ago (jarek)
60%StarStarStarStar