在图形显示模块中，实现了模拟区域几何形状、格点热循环曲线、格点选择概率及晶粒尺寸分布的可视化。

In the drawing module of graph, geometric figure of simulated domain, thermal circulation curve and selection probability of each site and grain size distribution are visual.

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可见，应用人工神经网络模拟区域贫困化简便、实用，避免了传统的单纯依靠统计数据进行贫困化研究的做法，是一种可行的方法与技术途径。

The results also indicate that application of BP neural network to simulating regional poverty is convenient, precise and feasible, which can be an alternative approach to simulating regional poverty.

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区域模型成功地模拟了该区域当今云场的关键特性，包括观测到的云区对厄尔尼诺现象的反应。

The regional model successfully simulates key features of the region's present-day cloud fields, including the observed response of clouds to El Nino.

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