Enable the use of a seed for the Randomizer classes

[GoogleCodeExporter]

Hi,

i have the need to be able to do the training of a neural network with a given 
random seed for initialisation. So 2 training with the same parameters produce 
the same network.

I have not find any other way but to create a class that inherit 
NguyenWidrowRandomizer and override the public double randomize(final double d) 
method, because you use Math.random() instead of creating a Random(long seed) 
object. 

Maybe it will be a nice addition to allow people to specifiy a long seed 
meaning that they want a Random object and specifically this seed instead of 
using Math.random().

this is especially usefull to reproduce bug, and compare different dataset 
without having to save a NeuralNet after the initialisation.

if you need more details or the class i wrote feel free to ask.

Regards.

Julien Blaize

Original issue reported on code.google.com by julien.b...@gmail.com on 27 Sep 2010 at 9:14

[GoogleCodeExporter]

This has been added in Encog 2.5.

Original comment by heatonre...@gmail.com on 10 Oct 2010 at 4:04

• Changed state: Verified
• Added labels: Type-Enhancement
• Removed labels: Type-Defect