基于忆元的模拟尖峰神经网络的并行仿真建模

Mathematical modeling in materials science of electronic component Pub Date : 2022-10-22 DOI:10.29003/m3097.mmmsec-2022/150-156

A. Morozov, K. Abgaryan, D. Reviznikov

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引用次数: 0

摘要

本文研究了基于记忆元的模拟尖峰神经网络的仿真建模问题，该问题的框架是识别大小为128 × 128像素的一组五幅图像，涉及求解8万多个微分方程。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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SIMULATION MODELING OF AN ANALOGUE SPIKING NEURAL NETWORK BASED ON MEMRISTIC ELEMENTS USING PARALLEL TECHNOLOGIES

The paper deals with the issues of simulation modeling of an analog spiking neural network based on memristive elements within the framework of the problem of recognizing a set of five images of 128 by 128 pixels in size, which involves solving more than 80 thousand differential equations.

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Mathematical modeling in materials science of electronic component

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