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Artificial Intelligence Design for Tropical Storm Surge Disaster Prevention and Reduction

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 226)

Abstract

Tropical storm surge is one of the primary and also the most serious maritime disasters in the coastal areas of China. The backward aid decision supporting method is the largest and also the most urgent problem that is difficult to be solved in the current emergency management of tropical storm surge disaster prevention and reduction. In this paper, by applying the theory and technology of artificial intelligence (AI), researching knowledge base and reasoning machine, and using the rule-based production knowledge representation, the credibility-based forward reasoning strategy and the data-mining-based intelligent learning way, a practical AI is designed for tropical storm surge disaster prevention and reduction.

Keywords

Tropical storm surge Emergency management of disaster prevention Aid decision supporting system Research 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.National Marine Environmental Forecasting CenterBeijingChina

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