论文部分内容阅读
文中提出了一种基于模糊神经网络方法的味觉信号识别模型，利用小波变换实现了对传感器所采集的味觉信号进行数据压缩及特征抽取，以模糊神经网络作为味觉信号的识别工具，并利用遗传算法训练网络权值、优化隶属度函数．文中实现了对酸、甜复合味觉信号的数据处理和模糊识别．实验结果表明了将模糊神经网络引入到味觉信号模糊识别的可行性和有效性
In this paper, a taste signal recognition model based on fuzzy neural network is proposed. The wavelet transform is used to compress and extract the taste signals collected by the sensor. The fuzzy neural network is used as the recognition tool of the taste signals. Genetic algorithms Training Network Weight, Optimizing Membership Function. In this paper, the data processing and fuzzy recognition of sour and sweet composite taste signals are realized. The experimental results show the feasibility and effectiveness of introducing fuzzy neural network into the fuzzy recognition of taste signals