Uninorm-based Neural Network and its Application for Control of Mobile Robots

被引：0
|
作者：
Kagan, Evgeny [1 ]
Rybalov, Alexander [2 ]
Ziv, Hodava [1 ]
机构：
[1] Ariel Univ, Ariel, Israel
[2] Machine Learning Inst, New York, NY USA
来源：
2016 IEEE INTERNATIONAL CONFERENCE ON THE SCIENCE OF ELECTRICAL ENGINEERING (ICSEE) | 2016年
关键词：
Neural network; uninorm; mobile robots; collective behavior;
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：
We suggest the model of recurrent neural network based on the uninorm aggregators and apply it for control of mobile robots. The learning process in the network is governed by the changes of the values neutral elements. The mobile robots in the group are considered as mobile neurons such that their mobility is defined with respect to their internal states. For the suggested model we construct non-monotonic generator function that, however, preserves its monotonicity in the algebraic structure defined by the uninorm and absorbing norm aggregators. The model was verified by numerical simulations and by the trials with the mobile robots.
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页数：5
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