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Fri, 06 Feb 2009

More progress on neural net engine ...

"ng" (grab blob to create neural input pattern) and "nb" (compare blob against trained patterns) are now working, though certainly in need of lots of testing.

Code repository:
http://code.google.com/p/surveyor-srv1-firmware

Forum discussion

Here's an example session -



vc0100200070130150250
##vc 0



vb0
##vb0
2111 - 118 188 91 188

ng4   (this is where we grab a blob,scale it to 8x8, and store it as a new pattern)

ni   (initialize the net)
##ni - init neural net
nt   (train the net)
##nt - train 10000 iterations

nb0   (check that the pattern was learned)
##nb
0 0 0 0 71 7 0 0 0 0 0 0 0 0 0 0

then after moving the robot slightly

vb0
##vb0
2137 - 126 196 92 189
nb0
##nb
0 0 0 0 78 6 0 0 0 0 0 0 0 0 0 0

The "nb" command matches the input pattern from the largest blob against the patterns that the neural net has already learned. You can see that the best match is with pattern #4 (counting from 0). The detector seems to be pretty sensitive to small changes, so more work is needed, but at least we have a starting point.

Posted Fri, 06 Feb 2009 17:52 | HTML Link | see additional stories ...