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A Design of Stack Data Cache in IW
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作者 滕至阳 袁全生 《Journal of Southeast University(English Edition)》 EI CAS 1998年第1期8-11,共4页
A stack data cache is designed according to the features of intelligent workstation(IW) in A1 type intelligent network. Its page fault rate is up to 10 -3 , and the overhead of page replacement is only half of th... A stack data cache is designed according to the features of intelligent workstation(IW) in A1 type intelligent network. Its page fault rate is up to 10 -3 , and the overhead of page replacement is only half of the normal. Stack data cache is suitable for IWs inference engine especially. 展开更多
关键词 stack data cache intelligent workstation
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Data-driven based variable geometry design
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作者 Yinpo Xu Cheng Yin +3 位作者 Xuefeng Zou Yingjie Pan Yudong Ni Hongbin Yi 《Earthquake Research Advances》 CSCD 2021年第S01期70-75,共6页
Conventionally,the method to make up for the missing data of middle-shallow layer in the obstacle area is by variable geometry,for example,deviating physical points and adding sources and receivers.And the missing dat... Conventionally,the method to make up for the missing data of middle-shallow layer in the obstacle area is by variable geometry,for example,deviating physical points and adding sources and receivers.And the missing data of middle-shallow layer is evaluated according to the effective coverage of the target layer.Since the traditional method doesn't consider the actual seismic data,it is impossible to actually predict the gap of section and the imaging effect.The paper proposes the evaluation method of data-driven based variable geometry:Firstly,the obstacle avoidance design is realized according to the coordinate range and safe distance of the obstacle area;Secondly,the local similarity of each common image gather(CIG)is calculated,and the contribution of the sources and receivers to the target area is also calculated;Thirdly,according to the variable geometry design,choose the required trace to perform sorting and stacking according to the contribution of the sources and receivers in the CIG,the stack data volume of the whole work area is generated;finally,evaluate the missing data in the obstacle area by the extracted seismic stacked sections in different direction and guide the designer in the infilling plan.Meanwhile,for area with very low signal to noise ratio(SNR),the new method can be used to evaluate the imaging potential and guide the survey design.The new method has achieved very good effect in the production,and the analysis result is very consistent with the processed result of the actual seismic data. 展开更多
关键词 variable geometry gather OFFSET stack data volume infilling plan
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基于极限学习机与旋转森林相结合的栈式深度学习分类方法 被引量:4
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作者 杜晓明 汤立 +1 位作者 蔡李花 周塔 《江苏科技大学学报(自然科学版)》 CAS 2019年第6期82-87,共6页
大数据时代的到来导致简单机器学习所建立起来的单一模型往往不能充分挖掘大样本数据所承载的丰富信息,同时在学习能力上也略显不足.在此背景下,文中将旋转森林算法(rotation-forest,ROF)与极限学习机(extreme learning machine,ELM)相... 大数据时代的到来导致简单机器学习所建立起来的单一模型往往不能充分挖掘大样本数据所承载的丰富信息,同时在学习能力上也略显不足.在此背景下,文中将旋转森林算法(rotation-forest,ROF)与极限学习机(extreme learning machine,ELM)相结合,构建一个基础神经元单元,然后通过栈式泛化原理进行逐层构建,形成一种快速保持源域空间特征的深度学习模型(D-R-ELM).D-R-ELM由多个基础神经元构成,这些基础神经元通过一种特殊的栈式构造方式,既保证了较好的学习能力,同时也减少了训练成本.实验结果表明:D-R-ELM的深层结构模型,在大样本数据上相比于Adaboosting、Bagging、ELM、ROF和Rotboost传统分类器表现出更好的分类性能、稳定性与泛化性能. 展开更多
关键词 旋转森林 极限学习机 深度学习 栈式泛化原理 大样本数据
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Extracting cavity and pulse phases from limited data for coherent pulse stacking
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作者 Yilun Xu Russell Wilcox +8 位作者 John Byrd Lawrence Doolittle Qiang Du Gang Huang Yawei Yang Tong Zhou Lixin Yah Wenhui Huang Chuanxiang Tang 《Chinese Optics Letters》 SCIE EI CAS CSCD 2018年第4期51-55,共5页
Coherent pulse stacking(CPS) is a new time-domain coherent addition technique that stacks several optical pulses into a single output pulse, enabling high pulse energy and high average power. A Z-domain model target... Coherent pulse stacking(CPS) is a new time-domain coherent addition technique that stacks several optical pulses into a single output pulse, enabling high pulse energy and high average power. A Z-domain model targeting the pulsed laser is assembled to describe the optical interference process. An algorithm, extracting the cavity phase and pulse phases from limited data, where only the pulse intensity is available, is developed to diagnose optical cavity resonators. We also implement the algorithm on the cascaded system of multiple optical cavities,achieving phase errors less than 1.0°(root mean square), which could ensure the stability of CPS. 展开更多
关键词 Extracting cavity and pulse phases from limited data for coherent pulse stacking
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