Detection of multispectral input images using nonlinear artificial neural networks

摘要

Proposed architecture for nonlinear artificial neural network based on nonlinear oscillatory neuron and the learning algorithm. A non-linear network can be used to identify the input spectral images with the amplitude of the transient signal commensurate with the amplitude of the signal from noise due to resonance effect in nonlinear oscillatory neurons.