A pulse-coupled-multilayer perceptron hybrid neural network for condition monitoring

Studies of the visual cortex of cats highlight the role of temporal processing using synchronous oscillations for object identification. In this paper, a modified Eckhorn pulse coupled neural network model, the Computer-Model Cortex Neural Network, is used as a preprocessor to a neural network classifier for the condition monitoring of power transformers.