Applications of Pattern Recognition Methods to Hydrologic Time Series

Sidney Yakowitz
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Sidney Yakowitz: University of Arizona

A chapter in Computer Science and Statistics: Proceedings of the 13th Symposium on the Interface, 1981, pp 85-91 from Springer

Abstract: Abstract The paper surveys hydrologic studies by the speaker and others in which pattern recognition concepts play a prominent role. Data sets gathered from measurements of riverflow and water table pressure heads motivate relatively delicate statistical questions. Techniques such as cluster analysis, feature extraction, and non-parametric regression are ingredients of the state-of-the art solutions to these questions.

Keywords: Pattern Recognition; Feature Vector; River Flow; Pattern Recognition Method; Hydrologic Time Series (search for similar items in EconPapers)
Date: 1981
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4613-9464-8_13

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DOI: 10.1007/978-1-4613-9464-8_13

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