Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Neural networks and the bias/variance dilemma
Neural Computation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Networks: Tricks of the Trade, this book is an outgrowth of a 1996 NIPS workshop
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We describe a construction method and a training procedure for a topology preserving neural network (TPNN) in order to model the sequence-activity relation of peptides. The building blocks of a TPNN are single cells (neurons) which correspond one-to-one to the amino acids of the peptide. The cells have adaptive internal weights and the local interactions between cells govern the dynamics of the system and mimic the topology of the peptide chain. The TPNN can be trained by gradient descent techniques, which rely on the efficient calculation of the gradient by back-propagation. We show an example how TPNNs could be used for peptide design and optimization in drug discovery.