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Can the Bat ptimization algorithm parameterize a multi-layer perceptron that performs better than an MLP with 'sane defaults'?

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BatAlgLICENSE

BatAlgLICENSE

 
 

BatAlgorithm.py

BatAlgorithm.py

 
 

Dataset.arff

Dataset.arff

 
 

Phishing Websites Features.docx

Phishing Websites Features.docx

 
 

batResults.txt

batResults.txt

 
 

batResultsPCA.txt

batResultsPCA.txt

 
 

brute_force_parameterization.txt

brute_force_parameterization.txt

 
 

experiments.py

experiments.py

 
 

experimentsPCA.py

experimentsPCA.py

 
 

featureSelection.py

featureSelection.py

 
 

manualResults.txt

manualResults.txt

 
 

manualResultsPCA.txt

manualResultsPCA.txt

 
 

mlp.py

mlp.py

 
 

paramDiscovery.txt

paramDiscovery.txt

 
 

paramDiscovery6Hidden.txt

paramDiscovery6Hidden.txt

 
 

pca.py

pca.py

 
 

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Can the Bat ptimization algorithm parameterize a multi-layer perceptron that performs better than an MLP with 'sane defaults'?

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