提出一种基于过程神经网络的木材生长轮密度长期预测方法。
A long-term forecast method of timber growth ring density based on process neural network was proposed in this paper.
人工经济林枣木基本密度、核桃木材纤维长度可以通过生长轮年龄来预测，且预测效果显著。
Basic density of Common Jujube and fiber length of English Walnut could be predicted, and the results were significant.
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