Prediction of the Forest Health Based on BP Neural Networks

Yong Wang; Zhuang Xiong

doi:10.4028/www.scientific.net/AMR.726-731.4303

Paper Titles

A Comparison of the Behaviour of Spruce Wood and Polyolefins during the Test on the Cone Calorimeter
p.4280

Effects of Anthropogenic Disturbance Measures on Plant Diversity of Understory Vegetation in Moso Bamboo Forests
p.4288

Estimating Forest Ecosystem Carbon Storage under the Natural Forest Protection Program in Northeast China
p.4294

Niches of Major Associated Species in Natural Mixed Moso Bamboo Forests
p.4298

Prediction of the Forest Health Based on BP Neural Networks
p.4303

Rain Fall Partition of the Forest Canopy beside Songhua River
p.4307

Situation and Suggestions for Chinese Sustainable Forestry Development
p.4311

The Spatial Heterogeneity of the Soil Bulk Density under Different Management Types of Pinus koraiensis Forests
p.4315

Characterization of Rhizoctonia solani AG-3 Isolates Causing Target Spot of Flue-Cured Tobacco in China
p.4321

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 726-731Prediction of the Forest Health Based on BP Neural...

Prediction of the Forest Health Based on BP Neural Networks

Abstract:

This paper simple introduced back propagation (BP) neural networks, and constructed a dynamic predict model, based on it to predict forest disease and insect and rat pest. Then it analyzed and simulated with the BP neural network model with the data produced in the recent ten years. The result indicated that the BP neural network model is reliable for predicting the forest disease and insect and rat pest. The method provides scientific foundation for the forestry management of studied area.

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Periodical:

Advanced Materials Research (Volumes 726-731)

Pages:

4303-4306

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.726-731.4303

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Online since:

August 2013

Authors:

Yong Wang*, Zhuang Xiong

Keywords:

Artificial Neural Network (ANN), Forecast, Forest Disease, Insect, Rat Pest

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* - Corresponding Author

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