DocumentCode
508094
Title
Design of Tasting Perception System of Artificial Fish Based on Fuzzy Neural Network
Author
Meng Xian-yu ; He Xiao-yang ; Xue Yan-rong ; Li Feng-hua
Author_Institution
Coll. Electron. & Inf. Eng., Liaoning Univ. of Technol., Jinzhou, China
Volume
5
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
187
Lastpage
191
Abstract
Artificial fish for computer animation is created with artificial life. In order to enrich perceptive abilities of artificial fish and exhibit vivid animation, a kind of virtual tasting perception system of artificial fish is proposed. Firstly, the tasting perception model in Intelligent Virtual Environment (IVE) is built. Secondly, two-layer recognition model of tasting perception is designed according to the biological mechanism of taste. The recognition of tasting information is achieved using fuzzy neural network (FNN). The result is satisfying in computer animation simulation. And the design of tasting perception system sets a good foundation for research on multi-perception fusion.
Keywords
artificial life; chemioception; computer animation; digital simulation; fuzzy neural nets; virtual reality; Intelligent Virtual Environment; artificial fish; artificial life; biological taste mechanism; computer animation simulation; fuzzy neural network; multiperception fusion; two-layer recognition model; virtual tasting perception system; Animation; Artificial neural networks; Biological neural networks; Biological system modeling; Computational modeling; Computer simulation; Fuzzy logic; Fuzzy neural networks; Marine animals; Virtual environment; Agent; Artificial Fish; Artificial Life; FNN;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3736-8
Type
conf
DOI
10.1109/ICNC.2009.555
Filename
5365420
Link To Document