Fuzzy Verification Method for Indoor-Navigation Systems

被引:0
作者
Petrova, O. [1 ]
Tabunshchyk, G. [1 ]
Kapliienko, T. [1 ]
Kapliienko, O. [1 ]
机构
[1] Zaporizhzhia Natl Tech Univ, Software Tools Dept, Zaporizhzhya, Ukraine
来源
2018 14TH INTERNATIONAL CONFERENCE ON ADVANCED TRENDS IN RADIOELECTRONICS, TELECOMMUNICATIONS AND COMPUTER ENGINEERING (TCSET) | 2018年
关键词
indoor navigation; real-time systems; verification; neural networks; Kohonen maps;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In the article, a verification model based on neural networks, fuzzy sets, and an integrated method for determining the current position is considered. The challenges of indoor navigation systems are highlighted. The results of conducted experiments for develpments models presented by the authors.
引用
收藏
页码:65 / 68
页数:4
相关论文
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Khaikin S., 2006, NEURAL NETWORKS FULL, V2nd
[2]  
Petrova O, 2017, PROCEEDINGS OF THE 2017 9TH IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT DATA ACQUISITION AND ADVANCED COMPUTING SYSTEMS: TECHNOLOGY AND APPLICATIONS (IDAACS), VOL 2, P961, DOI 10.1109/IDAACS.2017.8095229
[3]  
Rutkovskaya D., 2013, NEURAL NETWORKS GENE
[4]  
Rutkovskaya D., 2006, NEURAL NETWORKS GENE, P215
[5]  
Tabunshchyk G., 2015, J ELECTROTECHNIC COM