AN EVALUATION OF MAHALANOBIS-TAGUCHI SYSTEM AND NEURAL NETWORK FOR MULTIVARIATE PATTERN RECOGNITION

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CUDNEY E.A.; HONG J.; JUGULUM R.; PARYANI K.; RAGSDELL K.M.; TAGUCHI G.

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Journal: Journal of Industrial and Systems Engineering Year:2007 | Volume:1 | Issue:2 Page(s): 139-150

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Title

AN EVALUATION OF MAHALANOBIS-TAGUCHI SYSTEM AND NEURAL NETWORK FOR MULTIVARIATE PATTERN RECOGNITION

Author(s)

Keywords

MAHALANOBIS-TAGUCHI SYSTEM

MAHALANOBIS DISTANCE

NEURAL NETWORK

PATTERNRECOGNITION

ORTHOGONAL ARRAY

SIGNAL-TO-NOISE RATIO

MAHALANOBIS SPACE (REFERENCE GROUP)

Abstract

The MAHALANOBIS-TAGUCHI SYSTEM is a diagnosis and predictive method for analyzing patterns in multivariate cases. The goal of this study is to compare the ability of the Mahalanobis- Taguchi System and a neural-network to discriminate using small data sets. We examine the discriminant ability as a function of data set size using an application area where reliable data is publicly available. The study uses the Wisconsin Breast Cancer study with nine attributes and one class.

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APA: Copy

CUDNEY, E.A., HONG, J., JUGULUM, R., PARYANI, K., RAGSDELL, K.M., & TAGUCHI, G.. (2007). AN EVALUATION OF MAHALANOBIS-TAGUCHI SYSTEM AND NEURAL NETWORK FOR MULTIVARIATE PATTERN RECOGNITION. JOURNAL OF INDUSTRIAL AND SYSTEMS ENGINEERING (JISE), 1(2), 139-150. SID. https://sid.ir/paper/307056/en

Vancouver: Copy

CUDNEY E.A., HONG J., JUGULUM R., PARYANI K., RAGSDELL K.M., TAGUCHI G.. AN EVALUATION OF MAHALANOBIS-TAGUCHI SYSTEM AND NEURAL NETWORK FOR MULTIVARIATE PATTERN RECOGNITION. JOURNAL OF INDUSTRIAL AND SYSTEMS ENGINEERING (JISE)[Internet]. 2007;1(2):139-150. Available from: https://sid.ir/paper/307056/en

IEEE: Copy

E.A. CUDNEY, J. HONG, R. JUGULUM, K. PARYANI, K.M. RAGSDELL, and G. TAGUCHI, “AN EVALUATION OF MAHALANOBIS-TAGUCHI SYSTEM AND NEURAL NETWORK FOR MULTIVARIATE PATTERN RECOGNITION,” JOURNAL OF INDUSTRIAL AND SYSTEMS ENGINEERING (JISE), vol. 1, no. 2, pp. 139–150, 2007, [Online]. Available: https://sid.ir/paper/307056/en

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