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In
Computer Science
NN.MDB
The Database that Thinks
"I am endeavoring, ma'am, to create a mnemonic memory circuit, using
stone knives and bearskins."
Spock , Star Trek
Episode "The City on the Edge of Forever"
1967
In short, I have created real, working Artificial Intelligence using
nothing but an off-the-shelf database program. This is, I believe, the world's only Neural Network Simulator
native to Microsoft Access.
It is a fully functional three-layer perceptron comprised entirely
of VBA subs and functions, Access tables, and SQL queries.
Status: (Updated 2/2008)
Works, learns, proven. Training is a little slow (okay, very slow). Interface,
testing and data I/O could be more "robust." Several things still
NYI, and I
have now taken the entire project in a new direction for my own NN
experimentation. (see: Version 3)
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Science Fiction:

“Probability Points the Other Way”
I was just a
child when it started. I really didn't understand any of it. All I remember
was Mother gathering all of us and hurrying us to the lightship. I asked why
and she didn't answer. Then workers grabbed me a put me in one of those
liquid-filled pods that was supposed to protect me. They closed the lid and
it was dark. I was just a child.
I really didn't understand any of it.
I wish that I knew
then that I would never see Mother again. I wish that I had known then that
the World was about to end.
Louis
stopped reading the translation screen, “It looks like this one’s another
biography, Henry,” he said into his helmet radio as his thickly gloved hands
removed the millimeter thin stone tablet from the scanner, carefully putting
it back on the dust covered shelf with the others.
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Also In
Computer Science:
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The Two Spirals Problem Solved
Using a simple four-layer MLP and standard backprop
(You're going to say I cheated.)
While the Two-Spirals Problem may be (or actually, may not be) a
valuable benchmark for neural network researchers working on new architectures, I believe that it
much more valuable, and to a much larger number of people (those working on
applied NN solutions), as an example of THE WRONG WAY to present data to a
neural network. This paper is intended as a primer on how to evaluate, and
manipulate, your dataset prior to building a neural network to improve or
even guarantee your results.
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