小脑启发的人工神经网络架构

A. Nurutdinov, R. Latypov
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引用次数: 0

摘要

本文提出了一种基于小脑组织学的神经网络结构。开发的体系结构可以与现有的机器学习方法结合使用。我们的方法的新颖性依赖于小脑作为模拟计算机的自然表征,用于求解微分方程系统。给出了计算模拟中的一个样例微分方程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cerebellum-Inspired Artificial Neural Networks Architecture
This article presents a new neural network architecture based on the histology of the cerebellum. The developed architecture can be used in combination with existing machine-learning methods. The novelty of our approach relies on the natural representation of the cerebellum as an analog computer designed to resolve systems of differential equations. A sample differential equation in a computational simulation is given.
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