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Back-Propagation Neural Network based on Analog Memristive Synapse

机译:基于模拟忆阻突触的反向传播神经网络

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-based memristor) are separately combined into synapses to simulate a three-layer perceptron neural network operated by back-propagation algorithms on MATLAB platform. The device to device variations are considered in terms of the model's accuracy. Moreover, the effect of the target values and the initial weights on the final weight distribution are discussed.
机译:(基于记忆忆阻器)分别组合成突触,以模拟由MATLAB平台上的反向传播算法操作的三层感知器神经网络。根据模型的准确性考虑设备之间的差异。此外,还讨论了目标值和初始权重对最终权重分布的影响。

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