PHP Classes

Back Propagation Scale: Implement neural networks using back propagation

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back-propagation 1.0.0Free For Educatio...3.0PHP 5, Artificial intelligence
Description 

Author

freedelta

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
Picture of freedelta
Name: freedelta <contact>
Classes: 3 packages by
Country: France France
Innovation award
Innovation award
Nominee: 1x

 

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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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User Comments (1)
Great job.
10 years ago (jarek)		60%StarStarStarStar
 

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