Novel learning method for analogue neural networks

An analogue-neural-network learning method based on hardware is proposed. All the network parameters are oscillated with slightly different frequencies, and the spectra appearing in the error signal are used to change the parameters. Learning can be carried out without knowing the internal conditions of neural networks.