A modular artificial neural network system for the classification and selection of coatings for a chemical sensor array

Author

Chu, Guo-zhu ; Cui, Chen ; Stacey, Deborah A.

Author_Institution

Sch. of Eng., Guelph Univ., Ont., Canada

Volume

5

fYear

1994

fDate

27 Jun-2 Jul 1994

Firstpage

3342

Abstract

An application in the area of chemical and biosensor design has provided the inspiration for research into some of the issues involved with the design and application of modular artificial neural networks (ANNs) for pattern classification tasks. We can divide the development of modular ANNs into two main components: (1) the topological design of the individual modular ANNs and the construction of the assembly of modules; and (2) the analysis of the data sets to be used to train the individual modules. The chemical sensor design task allows us to explore this second component to identify some of the implications for the capture and analysis of data appropriate for the training of modular ANN systems

Keywords

ART neural nets; chemical engineering computing; chemical sensors; coatings; pattern classification; ART2 nets; adaptive resonance theory; chemical sensor; coatings selection; data sets; modular neural network; pattern classification; sensor design; Artificial neural networks; Biosensors; Chemical and biological sensors; Chemical sensors; Coatings; Data analysis; Phased arrays; Sensor arrays; Sensor systems; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-1901-X

Type

conf

DOI

10.1109/ICNN.1994.374772

Filename

374772