Potato creams recognition from electronic nose and tongue signals: feature extraction/selection and RBF Neural Networks classifiers

被引：5

作者：

Sundic, T ^{[1
]}

Marco, S ^{[1
]}

Perera, A ^{[1
]}

Pardo, A ^{[1
]}

Samitier, J ^{[1
]}

Wide, P ^{[1
]}

机构：

[1] Univ Barcelona, Dept Elect, Barcelona 08028, Spain

来源：

NEUREL 2000: PROCEEDINGS OF THE 5TH SEMINAR ON NEURAL NETWORK APPLICATIONS IN ELECTRICAL ENGINEERING | 2000年

关键词：

D O I：

10.1109/NEUREL.2000.902387

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we describe the development of potato cream recognition system based on Radial Basis Function Neural Networks from electronic nose and electronic tongue signals. Exhaustive and systematic feature extraction and selection, which are needed because of high dimensionality of signals, are performed on both instruments using various feature selection algorithms. At the end, we design the classifier based on RBF Network, and compare the results obtained from different features.

引用

页码：69 / 74

页数：6

共 9 条

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