Point Classification

Binary classification using evolved neural networks

Watch as NEAT evolves a neural network to classify 1000 points separated by a random mathematical function. The network learns to identify patterns and create decision boundaries in real-time.

Division Line Function

Points Distribution

1000 points

Classification Results

0
Correct
0
Correct
0
Errors
Accuracy 0%

Neural Network

every 1000 iter
Input
Output
Hidden
+W
-W
Error
0.0
Fitness
0.0
Iter
0
Net
2-0-1

NEAT Settings