Random neural networks for deep learning
The random neural network (RNN) is a mathematical model for an 'integrate and fire' spiking network that closely resembles the stochastic behaviour of neurons in mammalian brains. Since its proposal in 1989, there have been numerous investigations into the RNN's applications and learn...
Main Author: | Yin, Yonghua |
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Other Authors: | Gelenbe, Erol |
Published: |
Imperial College London
2018
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Subjects: | |
Online Access: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.762176 |
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