We present and investigate a general nonlinear growth network model which incorporates accelerated growth of nodes and edges.
本文提出了一个非线性扩张的复杂网络模型,在这个模型中,同时考虑了节点和边的非线性增长。
Recently, researchers have reported a lot of imitating real network evoluting growth model, in which a part of them are based on network aggregation growth.
最近研究人员提出了很多模拟真实网络演化生长的理论模型,其中一部分模型是从网络聚集生长出发的。
At last, this paper will also apply the stand density model established with artificial neural network in asset assessment of forest resources and the estimation of growth and harvest.
最后,本文还将把人工神经网络建立的林分密度模型用于森林资源资产评估,进行生长收获的预估。
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