移动智能对象的神经模糊自适应控制

2018 International Symposium on Consumer Technologies (ISCT) Pub Date : 2018-05-11 DOI:10.1109/ISCE.2018.8408914

M. Butakova, A. Chernov, Petr S. Shevchuk, V. Vereskun

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引用次数: 3

摘要

本文提出了一种适用于移动智能物体的神经模糊自适应控制系统。提出了基于模糊神经元模型的混合神经网络分类方法。提出了由三重神经网络组成的混合自适应系统结构。考虑了规则的模糊化过程、数据库的创建和模糊隶属函数的定义。此外，还实现了基于所提出架构的学习实验。

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Neural fuzzy adaptive control for mobile smart objects

In this paper, we propose the neural fuzzy adaptive control system suited for mobile smart objects. The classification of hybrid neural networks based on fuzzy neuron models is presented. The hybrid adaptive system architecture consisting of triple neural networks is proposed. Fuzzifying process with rules database creation and fuzzy membership functions definitions are considered. Also learning experiments with proposed architecture have been implemented.

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2018 International Symposium on Consumer Technologies (ISCT)

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