STUDY ON SELF-THINNING LAW OF PINUS MASSONIANA BASED ON ARTIFICIAL NEURAL NETWORK
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    Abstract:

    The research on forest self-thinning has been developed greatly, and a lot oftheoretical or empirical formulations were proposed. In this paper a method of artificialneural network is introduced, and a model of three-level feedtoward back-propagationneural network to simulate self-thinning law of Pinus massoniana is established for the firsttime. The result of simulation shows that artificial neural network model can fit the observeddata very well, and it is very useful in practice, which will enrich the research method of forest self-thinning.

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吴承祯, 洪伟.马尾松自疏规律的人工神经网络模型研究[J].热带亚热带植物学报,1999,7(3):210~216

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