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.
根据模型中状态反馈模块和时滞反馈模块的不变性特点,通过构造合适的迭代映射,研究了饱和区域内平衡点的存在性、个数以及局部渐近稳定性。
With the help of FEM numerical simulation method, the performance of cooling towers in terms of stress, displacement and local elastic stability due to aerodynamic loads are examined.
根据模型中状态反馈模块和时滞反馈模块的不变性特点,通过构造合适的迭代映射,研究了饱和区域内平衡点的存在性、个数以及局部渐近稳定性。
With the help of FEM numerical simulation method, the performance of cooling towers in terms of stress, displacement and local elastic stability due to aerodynamic loads are examined.
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