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《Forest Investigation Design》 2016-01
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The Growth Forecast Model of Subcompartment which Based on LM-BP neural network

Zhao Ting;Academy of forestry investigation and planning in Jilin Province;  
In order to achieve the subcompartment data accurate prediction year by year,the use of LM- BP neural network for training simulation,and comparing with traditional modeling method and growth forecast model,the results show that using LM- BP neural network training on subcompartment growth model has high precision than the traditional method,its training method is simple and easy to implement,so can be applied to forest resources investigation.
【CateGory Index】: S757.2
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