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基于模糊神经网络的人工鱼虚拟味觉系统研究
Research on Virtual Tasting Perception System of Artificial Fish Based on Fussy Neural Network
【摘要】 本文设计了在智能虚拟环境下人工鱼的一种虚拟味觉系统。利用模糊神经网络实现了鱼儿对食物的学习记忆算法。模糊神经网络由于同时具备了模糊逻辑对规则的表达能力以及神经网络的学习能力,非常适合解决虚拟环境中味觉的信号识别问题,经实验验证是切实可行的。基于模糊神经网络的味觉系统的研究和实现为人工鱼多感知融合系统提供了基础。
【Abstract】 A kind of virtual tasting perception system of artificial fish in Intelligent Virtual Environment(IVE)is proposed in this paper.A learning and memory algorithm for feeding behavior of artificial fish is achieved using fuzzy neural network.Fuzzy neural network is fit for recognizing the tasting signal in IVE.,for it not only has the expressive ability of fuzzy logic to rules,but also has the learning ability of neural network.The result is satisfying in experiment.Research on virtual tasting perception system on fussy neural network sets a good foundation for research on multi-perception fusion.
【Key words】 Artificial life; Artificial fish; Agent; Fuzzy neural network;
- 【文献出处】 计算机科学 ,Computer Science , 编辑部邮箱 ,2008年01期
- 【分类号】TP391.9;TP183
- 【被引频次】3
- 【下载频次】273