Neural Fuzzy Adaptive Control for Mobile Smart Objects

被引：0

作者：

Butakova, Maria A. ^{[1
]}

Chernov, Andrey V. ^{[1
]}

Shevchuk, Petr S. ^{[1
]}

Vereskun, Vladimir D. ^{[1
]}

机构：

[1] Rostov State Transport Univ, Informat Technol Controlling Fac, Rostov Na Donu, Russia

来源：

2018 INTERNATIONAL SYMPOSIUM ON CONSUMER TECHNOLOGIES (ISCT) | 2018年

基金：

俄罗斯基础研究基金会;

关键词：

intelligent control; fuzzy control; adaptive systems; neural networks;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：45 / 48

页数：4

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