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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 (9 years ago) RSS 2.0 feedNot enough user ratingsTotal: 1,188 This week: 1All time: 3,132 This week: 422Up
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
Name: freedelta <contact>
Classes: 3 packages by
Country: France France
Innovation award
Innovation award
Nominee: 1x

  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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Total:1,188
This week:1
All time:3,132
This week:422Up
User Comments (1)
Great job.
4 years ago (jarek)		60%StarStarStarStar
 

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