A Training Strategy and Functionality Analysis of Digital Multi-Layer Neural Networks
RAIDA AL-ALAWI, T.J. Stonham · Journal of Intelligent Systems · 1992
The digital neuron model is evaluated in terms of its functional capacity, generalisation, training procedure and hardware implementtation, and contrasted with the analogue neuron model.A learning algorithm for digital multi-layer neural networks which uses a backpropagation search techniques is proposed and compared with other well-known training methods.Finally a dynamic mapping strategy for the nodes of the digital multi-layer network and the introduction of redundancy are evaluated as means of increasing the flexibility and functional capacity of the network.