A Neural Network Implementation for a Electronic Nose

A new implementation of a multi-layer perceptron neural network is presented where activation levels within the network are encoded using Sigma-Delta modulation. Large, hardware networks can be constructed, which can be trained using the standard back-propagation algorithm. The network has been used to form a stand-alone electronic nose system capable of distinguishing between four odours.