Classification of Vintages of Wine by an Artificial Nose with Neural Networks

摘要：

Artificial neural networks have been used to analyze odour patterns and are showing promising results. In this paper, a pattern recognition system of an artificial nose with neural networks which implement temporal processing is presented. The results were compared to those obtained by a Multi-Layer Perceptron (MLP) neural network. The signals generated by an array of six conducting polymer sensors exposed to the odours of three different vintages of the same wine were analyzed. Experimental details of the training method are shown, as well as the results obtained for different numbers of hidden units in one-hidden-layer networks.

作者: Akio Yamazaki Bernarda Ludermir

作者单位: Centre of Informatics Federal University of Pernambuco P. O. Box 7851 - Cidade Universit(a)ria 50.732-970, Recife - PE - Brazil

会议类型: 国际会议

会议名称: 8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)

会议地点: 上海

会议语种:英文

页码: 222-225

在线出版日期: 2001-11-14（万方平台首次上网日期，不代表论文的发表时间）