The Application of Information Retrieval in Governance Decision of Water Bloom Based on Decision Tree and CPN Neural Network

Zhao Yang Wang; Yan Shi; Xiao Yi Wang; Li Wang; Ji Ping Xu; Yu Ting Bai

doi:10.4028/www.scientific.net/AMR.1010-1012.885

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1010-1012The Application of Information Retrieval in...

The Application of Information Retrieval in Governance Decision of Water Bloom Based on Decision Tree and CPN Neural Network

Abstract:

This paper is based on the study of typical strategy of water bloom governance in China and introduces information retrieval method in water bloom governance. It can both ensure accuracy of the search and improve the search speed to combine decision tree and CPN neural network as retrieval mechanism. Finally it can be proved that the information retrieval mechanism is effective in governance decision of water bloom after using the Beihai in Beijing as the example.

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Periodical:

Advanced Materials Research (Volumes 1010-1012)

Pages:

885-890

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1010-1012.885

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Online since:

August 2014

Authors:

Zhao Yang Wang, Yan Shi*, Xiao Yi Wang, Li Wang, Ji Ping Xu, Yu Ting Bai

Keywords:

CPN Neural Network, Decision Tree, Governance Decision, Information Retrieval, Water Bloom

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* - Corresponding Author

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