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Sep 23, 2007, 03:57 AM
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Neural Network Notes


Chose lwneuralnet as our neural network library because it's simple and can run on the Gumstix without requiring any more libraries.

So with lwneuralnet the inputs & outputs must be between 0.0 and 1.0. The randomizing feature could rarely generate useful results. Unrandomized networks seemed 2 work best. Lwneuralnet uses back propagation and has no evolutionary algorithm. Ideally we'll B using random evolution in a finished product.

It takes about 1000000 iterations to train the neural network enough to do the job. The neural network didn't seem 2 do much better than dividing acceleration vs. tilt.

With the network from 9/21/07 it worked when it worked but didn't work most of the time. It was way too slow on a 2.4Ghz Opteron to have a chance on the Gumstix.

This is the first time anything has come close to barely getting ahead of GPS, so it's still pretty exciting. There still seems 2 B enough information for a neural network of some kind to predict velocity ahead of GPS.

Probably need to forget about training neural networks in flight at all. Need to focus on feeding past measurements into the inputs of a fixed network.
Last edited by Jack Crossfire; Sep 23, 2007 at 04:05 AM.
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