GitHub - JishanBaig/Keystroke-Dynamics-Authentication-using-Neuroevolution-of-Evolving-Topologies-NEAT-: Optimizing both weight and structure of neural network using genetic algorithm using neat-python library. identifying the user by its typing patterns using the evolved neural network and also compared it with 3-layer neural network.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
.idea		.idea
.DS_Store		.DS_Store
3layernnclasiffier.py		3layernnclasiffier.py
avg_fitness.svg		avg_fitness.svg
basicnnclassifier.py		basicnnclassifier.py
bestnn.txt		bestnn.txt
bogo.py		bogo.py
fitness_history.csv		fitness_history.csv
kd.txt		kd.txt
main.py		main.py
main2.py		main2.py
neat_output.txt		neat_output.txt
speciation.csv		speciation.csv
speciation.svg		speciation.svg
species_fitness.csv		species_fitness.csv
test.py		test.py
test10.txt		test10.txt
train10.txt		train10.txt
xor2-all.gv		xor2-all.gv
xor2-all.gv.svg		xor2-all.gv.svg
xor2-enabled-pruned.gv		xor2-enabled-pruned.gv
xor2-enabled-pruned.gv.svg		xor2-enabled-pruned.gv.svg
xor2-enabled.gv		xor2-enabled.gv
xor2-enabled.gv.svg		xor2-enabled.gv.svg
xor2_config.txt		xor2_config.txt

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Optimizing both weight and structure of neural network using genetic algorithm using neat-python library. identifying the user by its typing patterns using the evolved neural network and also compared it with 3-layer neural network.

deep-neural-networks deep-learning neuroevolution neat-python keystroke-authentication