针对样本集在神经网络中所起到的重要作用，用大量的仿真试验研究了区域映射模型输出与输入空间的拓扑相似性。
The topological similarity between the output distribution and the input distribution of the region mapping model are investigated through a lot of computer simulations.
其次，采用该混合模型计算运动目标的显著性映射概率分布，有效地提取出运动目标区域。
Then, it USES the defined model to compute probability distribution of salient maps, which can locate region of moving object effectively.
利用区域映射神经网络模型对中国高新技术园区投入产出绩效进行智能评价，取得了较好的效果。
The model works well in intelligent evaluation of input and output performance for high-tech industrial zones.
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