Neural Network Data Processing

• Three-layer feed-forward back propagation NN were built with diverse configurations:

• Input layer: p = 4, 8 or 16 nodes for the input feature vector components a₁, ..., a_p

• Hidden layer: q = 4, 8, 16, 32 or 64 nodes depending on the number of input nodes

• Output layer: 1 node for chip form coded value output