Network construction and research.
A neural network in this case is a
program that tries to simulate the neurons of the brain.
By training it with known problems the network tries to
find a solution.
Most NNs have some sort of
"training" rule whereby the weights of
connections are adjusted on the basis of data. In other
words, NNs "learn" from examples (as children
learn to recognize letters in the alphabet from examples)
and exhibit some capability for generalization beyond the
- Here is the first neural network we have built so far.
- We have made major improvments to the basic network
- The network can now learn the logic instructions of OR,
XOR, NOT-XOR, AND and more Without getting stuck like the
original network desgin did.
- This is achieved using only three neurons!.( 2 x input, 2
x hiidden, 1 x output = 1 x Perceptron )
- You can download this working demo here. ( just
unzip to a folder and click the exe file to run )
Full credits to James Lewis for the base code
to build from.
Multi layer dynamic neural
network working!!! Dec 24th
Multi layer Neural Network with visual
Random training of multiple logic gate
formulas solved in real time.
1 of 32 to 5 bits decoder successfully
trained. A test to see if the net was working ok
Download the 1 of 32 to 5 bits decoder
demo and watch it learn. It will start over when the
problem has been solved.
The color changes from red to
green as the error decreases.
If you have any
questions email us Kiwi@Pitstock.com