In this paper, frequency-based digital architecture of Multilayer Neural Network (MNN) with on-chip learning is proposed. In the frequency-based neural networks, pulse-streams are used for representation of the neuronal signals so that the proposed MNN can be effectively implemented on hardware. The back-propagation algorithm is modified and employed for the on-chip learning. The learning behavior of the MNN is tested by simulations and the feasibility of the architecture is verified.

Frequency-based multilayer neural network with on-chip learning

Pulse Coded Cellular Neural Network

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Pulse Coded Cellular Neural Network