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您的检索式：作者名="DENG Xiling"
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| 1 | Characteristics analysis on high density spatial sampling seismic data显示文摘中国的大陆人免职盆被复杂地质的结构和各种各样的水库岩性学描绘。因此,高精确探索方法被需要。高密度空间采样是一种新技术增加地震探索的精确性。我们简短讨论点来源和接收装置技术,分析高密度在 situ 方法的空间采样,介绍吉季斯· J · O 介绍的对称的采样原则。Vermeer,并且讨论高密度从波浪地连续性的观点的空间采样技术。我们强调高密度的分析空间采样特征,包括高密度,首先,裂缝为近的表面结构的调查有利,改善静态的修正精确,在到增加的短偏移量的稠密的接收装置间距的使用在浅深度的有效范围,和思考成像的精确性。协调噪音不是 aliased 和噪音分析精确,抑制作为结果增加。空间采样提高的高密度各种各样的数学变换的波浪地连续性和精确性,它受益飘动地分离。最后,我们指出空间采样技术是的高密度的困难的部分处理的数据。更多的研究需要在分析并且处理地震数据的巨大的数量的方法上被做。 | Cai Xiling Liu Xuewei Deng Chunyan Lv Yingme | 2006 | Applied Geophysics2006，3，1： | 11 |
| 2 | Design, Synthesis and Activities of Aziridine Derivatives of N^5-Methyltetrahydrofolate Against Methionine Synthase显示文摘 | DENG Xiling GUO Ying TIAN Chao LIU Junyi WANG Xiaowei ZHANG Zhili | 2015 | Chemical Research in Chinese Universities2015，31，5： | 2 |
| 3 | Waveletbased two-level methods for image restoration显示文摘 | Deng Liangjian Huang Tingzhu Zhao Xile | 2012 | Communications in Nonlinear Science and Numerical Simulation2012，17，12： | 1 |
| 4 | A survey of brain-inspired artificial intelligence and its engineering显示文摘Exploring the human brain is perhaps the most challenging and fascinating scientific issue in the 21st century.It will facilitate the development of various aspects of the society,including economics,education,health care,national defense and daily life.The artificial intelligence techniques are becoming useful as an alternate method of classical techniques or as a component of an integrated system.They are used to solve complicated problems in various fields and becoming increasingly popular nowadays.Especially,the investigation of human brain will promote the artificial intelligence techniques,utilizing the accumulating knowledge of neuroscience,brain-machine interface techniques,algorithms of spiking neural networks and neuromorphic supercomputers.Consequently,we provide a comprehensive survey of the research and motivations for brain-inspired artificial intelligence and its engineering over its history.The goals of this work are to provide a brief review of the research associated with brain-inspired artificial intelligence and its related engineering techniques,and to motivate further work by elucidating challenges in the field where new researches are required. | Shuangming Yang Xinyu Hao Bin Deng Xile Wei Huiyan Li Jiang Wang | 2018 | Life Research2018，1，1： | 0 |
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