2 replies to this topic

[MaltaSauce]

Hi guys, i am a student studying software engineering and i am doing my dissertation on Kohonen Neural Networks. I would like to know who to calculate or estimate how much memory is required to run plausible text classification. I can't seem to find anything regarding this. Can anyone help me out or point me in the right direction.

Thanks so much

[sam_l]

The amount of memory, as in space used in RAM, depends on your code. How are you representing the nodes, what data is being stored, etc.

[Predictor]

MaltaSauce said:

Hi guys, i am a student studying software engineering and i am doing my dissertation on Kohonen Neural Networks. I would like to know who to calculate or estimate how much memory is required to run plausible text classification. I can't seem to find anything regarding this. Can anyone help me out or point me in the right direction.

The answer will ultimately depend on several things, chief among them: which neural network architecture you're using (Kohonen developed a number of different neural models) and the size of the neural network (which, in turn, will largely be determined by the number of features ("inputs") you use, and the number of output classes).

Edited by Predictor, 29 January 2011 - 02:40 AM.