Switched-capacitor realisations of artificial neural network learning schemes

Switched-capacitor realisations of learning schemes commonly used to train artificial neural networks are presented. These switched-capacitor realisations are modular in the sense that the same switched-capacitor modules can be used for the sum of products operation and the weight updating. The modularity of the realisations makes them attractive for VLSI implementations. Computer simulation results confirm all expectations.