Spiking neural network for control chart pattern recognition

Abstract

Temporal coding spiking neural networks are receiving wider attention due to their computational power. The coincidence detection property of a spiking neuron, which has no counterpart in a sigmoidal neuron, is one of the reasons for that power. This feature can be utilised to store input information in a network's connection delays and to detect input patterns accurately and efficiently.