METHOD AND DEVICE FOR IMPLEMENTING BAYESIAN NEURAL NETWORK BY USING MEMRISTOR INTRINSIC NOISE

摘要

Disclosed in the present application are a method and device for implementing a Bayesian neural network by using memristor intrinsic noise. The method comprises: obtaining a Bayesian network, performing training on the Bayesian network according to a selected data set, and obtaining weight distribution of the Bayesian network; and performing processing on the weight distribution of the Bayesian network, performing calculation according to the processed weight distribution and the conductivity of a plurality of memristors to obtain a target conductivity value, and mapping the target conductivity value into the memristors. According to the method, the Bayesian neural network is implemented by using a memristor cross array, the power consumption is low, the calculation speed is high, and the calculation energy efficiency is high.