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Design of Tasting Perception System of Artificial Fish Based on Fuzzy Neural Network

机译:基于模糊神经网络的人工鱼品尝感知系统设计

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摘要

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.
机译:用于计算机动画的人工鱼是通过人工生命创造的。为了丰富人工鱼的感知能力并表现出生动的动画效果,提出了一种虚拟的人工鱼品尝体验系统。首先,建立了智能虚拟环境(IVE)中的品酒感知模型。其次,根据味觉的生物学机制设计了品味感知的两层识别模型。品尝信息的识别是使用模糊神经网络(FNN)实现的。结果在计算机动画仿真中令人满意。品尝感知系统的设计为多感知融合的研究奠定了良好的基础。

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