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ASME Press Select Proceedings
International Conference on Future Computer and Communication, 3rd (ICFCC 2011)
ISBN:
9780791859711
No. of Pages:
524
Publisher:
ASME Press
Publication date:
2011
eBook Chapter
20 The Application of the Data Fusion to Forest-Fire Harm Degree
By
Page Count:
5
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Published:2011
Citation
Yu-Bin, H, & Yue, W. "The Application of the Data Fusion to Forest-Fire Harm Degree." International Conference on Future Computer and Communication, 3rd (ICFCC 2011). ASME Press, 2011.
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This paper brings in Multi-source data fusion to solve the limitation of single sensor in the detecting of Forest-fire Harm Degree, and then analyses the basic theory. It sets up the forecast model of Forest-fire Harm Degree by using the BP Neural Networks and fuzzy theory and analyses the influence of temperature, humidity, rainfall, wind speed and sunlight. Through the simulation experiment it proves that the model has a high forecast precision.
Abstract
Key Words
1 Introduction
2. BP Neural Network Model of Forest Fire Danger Rating
3. Experiments and Results
4. Summaries
References
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