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利用人工神经网络(ANN)模拟了天鹅山林场景观格局与森林景观类型所占面积百分比的关系,并对各景观类型面积所占百分比对景观格局的影响进行了预测,为景观优化对策提供了一条新的思路。结果表明人工神经网络方法非常适于研究森林景观格局驱动因素和森林景观格局的非线性对应关系,模型体现了较高的可靠性和操作性。
Artificial neural network (ANN) was used to simulate the relationship between the landscape pattern of Sanshan Forest and the percentage of forest landscape. The influence of the percentage of each landscape type on landscape pattern was predicted, which provided a guideline for landscape optimization New ideas. The results show that the artificial neural network method is very suitable for studying the non-linear correspondence between forest landscape pattern drivers and forest landscape pattern. The model shows high reliability and operability.