模糊神经网络在电子鼻系统定量识别中的应用

Application of Fuzzy Neural Network to Quantitative Analysis with Electronic Nose System

提出并实现了两种类型的模糊神经网络用于电子鼻系统的定量识别。阐述了模糊神经网络用于电子鼻系统定量识别的基本原理,简要介绍了两种模糊神经网络的结构特点并进行了比较,并通过具体实例说明了模糊神经网络用于电子鼻系统的定量识别的可行性以及识别的效果。在该系统中,基于径向基网络模型的模糊神经网络的预测性能在整体上要优于基于感知器模型的模糊神经网络。

Two kinds of fuzzy neural network models' application to the quantitative analysis in an electronic nose system are put forward and realized. The basic principle of the fuzzy neural network is proposed, and two fuzzy neural network models are introduced. Through an example, the paper illustrates the application is realizable and produce the analysis result.