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PubMed · 11307859

Combining regression trees and radial basis function networks.

M Orr·J Hallam·K Takezawa·A Murra·S Ninomiya·M Oide·T Leonard
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Abstract

We describe a method for non-parametric regression which combines regression trees with radial basis function networks. The method is similar to that of Kubat, who was first to suggest such a combination, but has some significant improvements. We demonstrate the features of the new method, compare its performance with other methods on DELVE data sets and apply it to a real world problem involving the classification of soybean plants from digital images.

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Models, StatisticalNeural Networks, ComputerRegression AnalysisStatistics, NonparametricComparative StudyJournal ArticleResearch Support, Non-U.S. Gov't

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M Orr, J Hallam, K Takezawa, A Murra, S Ninomiya, M Oide, T Leonard. 2000. Combining regression trees and radial basis function networks.. https://doi.org/10.1142/s0129065700000363

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