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Solving the Hole in the Square Problem with a Neural Network

​
the hole
error
visualize the net
reset the net
try the net
generate vectors
learn data
load a trained net
hidden level 1
4
hidden level 2
4
hidden level 3
4
learning rate
0.3
error threshold
0.02
learning ages
1000
vectors for learning
50
radius
0.7
vectors for testing
300
This Demonstration shows a neural network with backpropagation error. The net is tested with the problem of "the hole in a square", which means that given the coordinates of a random point, the neural network should determine whether the point is in the hole or not.
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