ronl@tessi.UUCP (Ron Lunde) (05/09/91)
Hi!
I'm trying to write a fairly general neural network simulator
using C++, so I can experiment with different types of network
models. I would like to write it in such a way that I can
output an ASCII description of the network, which can be easily
ported to special-purpose NN hardware or to other simulators.
In connection with this, I have a few questions for you, the
neural network world:
1) Is there a standard interchange format for neural networks?
If so, or almost, could you send me references? If not, do
you think an interchange format would be useful, and would you
like to help develop one? For example, the nodes and connection
weights might be specified in a simple table:
node node weight
-------------------------------
1 2 .87
1 3 -0.4
... ... ...
If the answer to this is "no standard exists" and "one would be
useful", I will try to help find someone to coordinate it unless
someone else already is working on it.
2) Has anyone done a class analysis of neural network varieties?
For instance, given a list of neural network models and algorithms:
Perceptron
Back Propagation
Feed Forward
Hopfield
Bayesian
Adaptive Resonance
Bidirectional Associative Memory
Kohonen
Competitive Learning
...
Has anyone organized this into a class hierarchy (with multiple
inheritance, if necessary)? If so, would someone please send me
some references?
3) Would anyone be willing to look over my class definitions and
methods (C++) and give me some feedback on how I've broken it
down so far?
Thanks!
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Ron E. Lunde ronl@tessi sun.com!nosun!tessi!ronl
Test Systems Strategies, Inc.
8205 S.W. Creekside Place
Beaverton, OR 97005 USA
Phone: (503) 643-9281 FAX: (503) 646-4954
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