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ELEMENT FOR GENERATING STOCHASTIC SIGNALS, STOCHASTIC NEURON AND NEURAL NETWORK BASED ON SAID NEURON
ELEMENT FOR GENERATING STOCHASTIC SIGNALS, STOCHASTIC NEURON AND NEURAL NETWORK BASED ON SAID NEURON
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机译：基于所述神经元产生随机信号，随机神经元和神经网络的元件
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摘要
The present invention relates to an element for generating stochastic signals, comprising a first binary-to-stochastic converter that includes a first input for receiving a binary signal and a second inlet for receiving a random signal and which is configured to convert the binary signal into a first stochastic signal using the random signal. The element for generating stochastic signals is characterised in that it comprises a processing unit with a first input for receiving the first stochastic signal and a second input for receiving a reference stochastic signal, the latter being generated from a constant-value signal and using the random signal. The signals are processed according to at least one arithmetic function, the result of which is a stochastic output signal representative of that processing. The invention also relates to a computational neuron that implements the element for generating stochastic signal, and to a neural network that implements the computational neuron.
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