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Method of training not supervises in an artificial neural network has a base of nanosatellites - devices memristifs and artificial neural network implementing the method.
Method of training not supervises in an artificial neural network has a base of nanosatellites - devices memristifs and artificial neural network implementing the method.
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机译:在人工神经网络中进行非监督训练的方法具有纳米卫星的基础-忆阻器和实现该方法的人工神经网络。
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摘要
An unsupervised learning method is provided implemented in an artificial neural network based on memristive devices. It consists notably in producing an increase in the conductance of a synapse when there is temporal overlap between a pre-synaptic pulse and a post-synaptic pulse and in decreasing its conductance on receipt of a post-synaptic pulse when there is no temporal overlap with a pre-synaptic pulse.
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