Artificial neural network models for prediction of intestinal permeability of oligopeptides

BMC Bioinformatics

Table 2 Prediction accuracy for models with various network architectures^a.

^a The network architecture A-B-C indicates the total number of descriptors in an input layer, where A is (7, the sequence length of a peptide) × (the number of descriptors for each amino acid), B and C are the numbers of neurons in hidden and output layers, respectively. For instance, the network architecture (7 × 20)-0-1 specifies a model constructed with zero neuron in hidden layer and one in output layer using the binary descriptor. All the models have one neuron in output layer.
^b The number(B) of neurons in a hidden layer.

ISSN: 1471-2105