A 2-D conveyor belt driven by a RD-CNN

被引：0

作者：

Fortuna, L ^{[1
]}

Branciforte, M ^{[1
]}

Occhipinti, L ^{[1
]}

Strazzuso, S ^{[1
]}

Xibilia, MG ^{[1
]}

机构：

[1] Dipartimento Elett Elettron & Sistemist, I-95125 Catania, Italy

来源：

PROCEEDINGS OF THE 2000 6TH IEEE INTERNATIONAL WORKSHOP ON CELLULAR NEURAL NETWORKS AND THEIR APPLICATIONS (CNNA 2000) | 2000年

关键词：

D O I：

10.1109/CNNA.2000.877353

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper a two-dimensional conveyor belt is controlled by neural processing approach; a particular CNN, named reaction-diffusion CNN, is used to generate waves propagation phenomena. They can propagate on the conveyor belt plane (an elastic membrane), moving an object between two points by a new kind of actuators: the Nitinol wires. A neural identification process of the membrane is illustrated to allow a suitable choice of the Nitinol dimensions. Moreover it is shown like both thermal and timing Nitinol behaviors are very similar to the slow-fast dynamics exhibited by a RD-CNN.

引用

页码：345 / 350

页数：4

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