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The Prediction of Protein Secondary Structure with a Cascade Correlation Learning Architecture of Neural Networks.
Francesco Vivarelli
Piero Fariselli
Rita Casadio
Published in:
Neural Comput. Appl. (1997)
Keyphrases
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cascade correlation
neural network
recurrent neural networks
protein secondary structure
constructive neural networks
back propagation
learning algorithm
protein secondary structure prediction
data analysis
learning process
machine learning
pairwise
information theoretic
inductive inference