running a network outside of PDP++

[Matt Flax <flatmax@Matt.Flax>]

Hi all,

It has been a while, I am happy to say that PDP++ is still training for 
me.

OK ... down to business !

I have trained a network and have now saved the weights/biases of this 
trained network to file using this funtion :
WriteWeights(File output_file)
http://www.cnbc.cmu.edu/Resources/PDP++//manual/pdp-user_113.html#IDX564

The network looks like so :
http://mffm.ee.unsw.edu.au/~flatmax/network.gif

So I have the weights in a file ... I would like to write an octave.org 
(like Matlab) or even a C++ algorithm to run the weights on data in a system.

I see in the weights file the following :
#Layer Layer_0
#Unit 
0.110906
#Unit 
0.130263

As layer 0 is my input layer ... these unit values must be biases ?

Then layer 1 and 2 have the following type of content :
#Layer Layer_1
#Unit 
-13.5269
#Con_Group 0
#Size 80
-1.92932
-1.39323
-2.97075
-3.88075
0.200701

I assume that the first value is the bias and the other 80 are weights ?

likewise for each perceptron in the layer ...

Can anyone tell me ...
Do I implement the network for the input layer as :
output = f( input+bias )

where f(.) is a sigmoid function. How do I find the function of this 
sigmoid ?

And for a regular layer would it be (for one perceptron) :
output = f( ( [input1:input80].[weight1:weight80] ) +bias  )


thanks in advance
Matt
-- 
http://www.flatmax.org

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