Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/64209
Title: Tropical cyclone forecaster integrated with case-based reasoning
Authors: Liu, JNK
Shiu, SCK 
You, J 
Issue Date: 2009
Publisher: Springer
Source: Lecture notes in electrical engineering, 2009, v. 28, p. 235-244 How to cite?
Journal: Lecture notes in electrical engineering 
Abstract: One of the major challenges for predicting tropical cyclone intensity is that we lack the understanding of coupling relationships of physical processes governing tropical cyclone intensification. This paper presents a Java-based case-based reasoning model to assist tropical cyclone forecasters to determine the intensity change of the tropical cyclone. Cases are constructed by using the data mining algorithms to uncover the hidden relationships between physical processes and tropical cyclone intensity. We specify the domain data, definitions of features from the data, tool for data exploration, and architecture of case-based reasoning model. Preliminary results are found to be useful to forecasters when faced with some unusual problem and under different weather situations.
URI: http://hdl.handle.net/10397/64209
ISSN: 1876-1100
EISSN: 1876-1119
DOI: 10.1007/978-0-387-85437-3_23
Appears in Collections:Conference Paper

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