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Rupak Saha edited this page Sep 18, 2023
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Welcome to the Neural-Network-Lab-Works wiki!
Genetic Algorithom[selection->crossover->mutation] based learning implementation
Back propagation learning algorithm hasbeen used to make the Program learn to classify patterns
The Neurons organises themselves to identify clusters in traing Patterns
The Netrork remembers Patterns.
If a segment of previously learnt pattern is given as input it is able to retrive the whole pattern
Visualisation
Widrow-Hoff-delta rule based learning: