https://scholars.lib.ntu.edu.tw/handle/123456789/637717
Title: | Genetic type-2 self-organising fuzzy logic controller applied to anaesthesia | Authors: | Liu, Yan Xin Shieh, Jiann Shing SHOU-ZEN FAN Doctor, Faiyaz Jen, Kuo Kuang |
Keywords: | anaesthesia | genetic algorithm | self-organizing fuzzy logic controller | type-2 fuzzy sets | Issue Date: | 12-Feb-2016 | Source: | TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence | Abstract: | In this paper, a novel genetic type-2 self-organising fuzzy logic controller (SOFLC) is proposed for anaesthesia control. The genetic type-2 SOFLC has a hierarchical structure consisting of three layers: a basic type-2 fuzzy logic controller, a self-organising mechanism for online adaption, and a genetic algorithm for offline optimisation. The genetic type-2 SOFLC is tested under different levels of environmental noise and compared with basic type-2 SOFLC that does not optimised. The results show that the proposed genetic type-2 SOFLC can perform better than the type-2 SOFLC in the presence of noise in terms of steady state error. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/637717 | ISBN: | 9781467396066 | DOI: | 10.1109/TAAI.2015.7407083 |
Appears in Collections: | 醫學系 |
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