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Neural Network construction and research.

February 16th 2002 - Created random training tables for a 1 of 32 bits to analog of 0 to 1. e.g. bit 1 would mean output = (1/32) x 1or bit 22 would mean output = (22/32) x 1. I fired it up using just 6 neurons and it worked great. It looks really pretty too. You can see in this image how analog networks are "naturals" at basic math.
Click to see the finished picture. http://www.pitstock.com/charts/neural_1of32_to_analog.html
Click here for a larger picture
February 17th 2002 - My first attempt was to try using an analog network to decode the first two bytes of a standard 64 bit encrypted letter. It didn't work very well but it looked really pretty. It was using somewhere like 100 neurons and it still wasnt happy. heres a screenshot.
Click to see the finished picture http://www.pitstock.com/charts/neural_64decode.html
Click here for a larger picture
February 17th 2002 - My second attempt at 64 bit decoding. I tried a binary neural network.using 2 byte Input(16bits), 32 hidden nodes, 1 byte output (8bits). This one solved or "decrypted" the problem in just a few hours on a pentium 200mhz, except for 4 characters ....hrmmm I need to modify the training setup. I have a great fix on paper for this. I will try and implement it soon and see if my theory is right. This fix would improve all my neural network goodies.
Click to see the finished picture http://www.pitstock.com/charts/neural_64decodebinary.html
Click here for a larger picture
February 19th 2002 - My third attempt at 64 bit decoding. After some modifications to the training sceanario and 8 hours of solid computer crunching the perfect decoded result was acheived. This used 70 hidden nodes.
Click to see the finished picture http://www.pitstock.com/charts/neural_64decide_binary_working.html
Click here for a larger picture
Note: All networks are trained randomly. I make sure the training data gives no clues by always presenting training data in random order. Previous Page

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