A robust nonlinear identification algorithm using PRESS statistic and forward regression.

A robust nonlinear identification algorithm using PRESS statistic and forward regression. Research Abstract Details 

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A robust nonlinear identification algorithm using PRESS statistic and forward regression. Abstract Text:

X Hong,P M Sharkey,K Warwick,

This paper introduces a new robust nonlinear identification algorithm using the predicted residual sums of squares (PRESS) statistic and forward regression. The major contribution is to compute the PRESS statistic within a framework of a forward orthogonalization process and hence construct a model with a good generalization property. Based on the properties of the PRESS statistic the proposed algorithm can achieve a fully automated procedure without resort to any other validation data set for iterative model evaluation.

A robust nonlinear identification algorithm using PRESS statistic and forward regression. Publishing Authors By Initials

X Hong,PM Sharkey,K Warwick,

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A robust nonlinear identification algorithm using PRESS statistic and forward regression. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: IEEE transactions on neural networks / a publicati

VOLUME: 14

Page Numbers: 454-8

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ISSN: 1045-9227

DAY: 1

MONTH: 02

YEAR: 2003

A robust nonlinear identification algorithm using PRESS statistic and forward regression. Information

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LANGUAGE: eng

NlmUniqueID: 101211035

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Grant and Affiliation Information for A robust nonlinear identification algorithm using PRESS statistic and forward regression.

AFFILIATION: Dept. of Cybern., Univ. of Reading, UK.

Country: United States

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MEDLINETA: IEEE Trans Neural Netw

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