Combination of decisions from a multiple neural network classifier system

Author

Peng Lim, Chee ; Yean Goay, Phaik ; Suan Teoh, Poh ; Harrison, Robert F.

Author_Institution

Sch. of Ind. Technol., Univ. Sains Malaysia, Penang, Malaysia

fYear

1999

fDate

36495

Firstpage

191

Lastpage

194

Abstract

In this paper, a study of the effectiveness of a multiple classifier system (MCS) in a medical diagnostic task is described. A hybrid network, based on the integration of a fuzzy ARTMAP and the probabilistic neural network, is employed as the basis of the MCS. Outputs from multiple networks are combined using some decision combination method to reach a final prediction. By using a real medical database, a set of experiments has been conducted to evaluate the performance of the MSC with different network configurations. The experimental results reveal the potential of the MCS as a useful decision support tool in the medical field

Keywords

ART neural nets; decision support systems; fuzzy neural nets; medical expert systems; pattern classification; decision combination method; decision support tool; fuzzy ARTMAP; hybrid network; medical database; medical diagnostic task; multiple neural network classifier system; network configurations; performance evaluation; prediction; probabilistic neural network; Databases; Fasteners; Fuzzy neural networks; Fuzzy systems; Learning systems; Medical diagnosis; Medical diagnostic imaging; Neural networks; Pattern classification; Subspace constraints;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge-Based Intelligent Information Engineering Systems, 1999. Third International Conference

Conference_Location

Adelaide, SA

Print_ISBN

0-7803-5578-4

Type

conf

DOI

10.1109/KES.1999.820152

Filename

820152