Re: Hardware Neural Network
- From: "Robert Lacoste" <see-my-email-at@xxxxxxxxxxxxxx>
- Date: Wed, 28 Feb 2007 18:10:23 +0100
"Daniele" <daniele.dileo@xxxxxxxxx> a écrit dans le message de news:
1172654132.819995.324540@xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
Hi all,
I'm a university student, and I'm realizing a research on artificial
neural networks. The aim of my research is the feasibility of putting
an artificial neural network on a microcontroller or a DSP. Because of
the sigmoid function, I think that would be necessary a 32-bit
microcontroller (or DSP) for floating point operations. I was
searching online but I only had found exhaustive informations on
software realization of ANN's, but it's not what I was searching for.
Does someone have any hint or any previous experience on the hardware
realization of an ANN?
I think the better solution is the DSP, due to its power on floating
points operation, is it right?
Here are some details of the network:
5 or 6 inputs
about 10 neurons in the hidden layer
2 outputs
Thanks in advance,
Daniele.
Hi Danielle,
You may have a look at the "Neural Stamp" project I've published in the
Circuit Cellar magazine some time ago (January 2000, issue #114) : it
provided 8 analog inputs, an hidden layer of 16 neurons, an output layer of
8 neurons driving 8 analog outputs, with a refresh rate of 50ms... all with
only the internal resources of a MC68HC908GP20 low cost 8 bit
microcontroller. Floating point is absolutly unnecessary for neural
networks, as a 1 bit quantization error doesn't change anything even with
8-bit words (at least for 2-layers networks), and sigmoid can be done easily
with a table-driven approach. This project won the 3rd prize in the
Design'99 contest, see http://www.circuitcellar.com/d99winners/
Friendly,
Robert Lacoste
www.alciom.com
The Mixed Signal Experts
.
- References:
- Hardware Neural Network
- From: Daniele
- Hardware Neural Network
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