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采用人工神经网络系统模型,对马尾松群落中的灌木种的22个样品的最大容水能力及影响因素研究分析表明,最大容水量与叶质、叶表着生物等特征属性关系紧密。革质光滑叶的最大容水量为0.70～1.00g/dm~2;皮质光滑叶的最大容水量为1.00～1.20g/dm~2;纸质无毛及少毛叶的最大容水量为1.20～1.40g/dm~2;纸质多毛叶的为1.40～1.80g/dm~2。人工神经网络系统排除嗓声信息的功能较强,由此得到的结果准确合理。
Based on the artificial neural network model, the maximum water holding capacity of 22 shrub species in the Pinus massoniana community and its influencing factors were studied. The results showed that the maximum water content was closely related to the traits of leaf quality and leaf surface biology. The maximum water holding capacity of smooth leathery leaves is 0.70 ~ 1.00g / dm ~ 2; the maximum water holding capacity of smooth leathery leaves is 1.00 ~ 1.20g / dm ~ 2; the maximum water content of paperless hairy and less hairy leaves is 1.20 ~ 1.40g / dm ~ 2; paper hairy leaves 1.40 ~ 1.80g / dm ~ 2. Artificial neural network system to exclude the voice information function is stronger, the result is accurate and reasonable.