memory cells中文是什么意思

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中文翻译
造句

记忆细胞

memory n. 1.记忆；记忆力；【自动化】存储器；信息存储方式； ...
cell n. 1.小室，单室；隔间，舱；〔诗〕茅舍；(单个的)蜂 ...
memory t cells 记忆t细胞
immunological memory cells 免疫记忆细胞
a cells cells]-细胞; hypophysis)]-细胞; α-细胞
cells cells]上皮细胞; 大中华印刷网着墨孔、墨坑，网坑、细窝; 晶胞; 着墨孔墨坑，网坑细窝
t cells t淋巴细胞; 淋巴细胞
the cells 入侵脑细胞
in memory of 纪念, 追念; 纪念，作为…的纪念; 以纪念...，为了纪念..; 以纪念……
in-memory 追忆
memory n. 1.记忆；记忆力；【自动化】存储器；信息存储方式；存储量。 2.回忆。 3.纪念。 4.死后的名声，遗芳。 5.追想得起的年限[范围]。 artificial memory 记忆法。 retentive memory 良好的记忆力。 a translation memory (电子计算机的)译码存储器。 Keep your memory active. 好好记住，不要忘记。 It is but a memory. 那不过是往事而已。 bear [have, keep] in memory 记着，没有忘记。 beyond [within] the memory of man [men] 在有史以前[以来]。 cherish the memory of (sb.) 怀念(某人)。 come to one's memory 想起，忆及，苏醒。 commit to memory 记住。 from memory 凭记忆。 have a good [bad, poor, short] memory 记性好[坏]。 have no memory of 完全忘记。 If my memory serves me. 如果我的记性不错。 in memory of 纪念…。 of blessed [famous, happy, glorious] memory 故〔加在已死王公名上的颂词〕 (King Charles of blessed memory 已故查理王)。 slip sb.'s memory 被某人一时忘记。 to the best of one's memory 就记忆所及。 to the memory of 献给…〔著者书前纪念性题词〕。 within living memory 现在还被人记着。
memory ( 开启除错
no memory 无存储器
of memory 记忆
on memory of 为纪念……
a city of cells 细胞的城市
a series of cells 电池组
acinar cells 腺泡细胞
adventitial cells 外膜细胞, 周皮细胞
air cells 含气小房; 含气锌
aleurone cells 糊粉细胞
amacine cells 无长突细胞
amacrine cells 无长突细胞
ambrosia cells 虫道真菌芽胞
anterior cells 前小房; 前锌

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例句与用法

In the process of design , the thesis using the circuit structure of inverter series within memory cell , and sharing read and write ports within multi - bit for the first time , solves dominoes effect for driving multi - read port problem , and reduces layout area of double - memory cell for about 40 % , respectively
在设计过程中,首次对位单元采用反相器级联的电路结构,解决了由于驱动多读出端口问题引起的电路驱动多米诺效应;首次采用了多位共享读写端口的电路结构,减小了双存储体40 %的版图面积。
According to the shortage of ga converging to a local optimal solution because of reducing the diversity of individuals , the theory of biological immune system is cited , the immune operators including calculation the densities of antibodies , activating or suppressing antibodies and making the memory cell are designed , and effectively combined with ga operators
同时，针对遗传算法在收敛计算后期，由于种群趋向单一化，出现早熟现象而陷入局部最优解的缺点，借鉴生物原理的免疫系统，设计出抗体浓度计算、抗体的抑制/促进、构造记忆单元等多个免疫算子，并与遗传算子进行有效结合。
Then , memory cell array and some parts of peripheral circuits used in sram , for example , sense amplifyier and adderss decoder , are designed and verifyied by simulation . furthermore , some novel methods , such as clocked hierarchical word decoding structure , multi - stage sense amplifyier , common data line and data bus equlibruim technology has been applied in the design of 128kbit and imbit sram . what ' s more , we have studied compiler technology applied in the designing course of a imbit full cmos sram from the pointview of methology
然后对sram的存储单元电路以及外围电路中的灵敏放大器和地址译码器进行了设计和模拟，在此基础上，以128kb和1mb全cmossram设计为例，从方法学角度对同步sram设计中的带时钟分等级字线译码，多级灵敏放大和位线及总线平衡等技术进行了研究，并给出了相应的compiler算法。
The characteristics of quantum computing and the mechanism of immune evolution are analyzed and discussed . inspired by the mechanism in which immune cell can gradually accomplish affinity maturation during the self - evolution process , a immune evolutionary algorithm based on quantum computing ( mqea ) is proposed . the algorithm can find out optimal solution by the mechanism in which antibody can be clone selected , memory cells can be produced , similar antibodies can be suppressed and immune cell can be expressed as quantum bit ( q - bit ) . it not only can maintain quite nicely the population diversity than the classical evolutionary algorithm , but also can help to accelerate the convergence speed and converge to the global optimal solution rapidly . the convergence of the mqea is proved and its superiority is shown by some simulation experiments in this paper
分析和探讨了量子计算的特点及免疫进化机制,并结合免疫系统的动力学模型和免疫细胞在自我进化中的亲和度成熟机理,提出了一种基于量子计算的免疫进化算法.该算法使用量子比特表达染色体,通过免疫克隆、记忆细胞产生和抗体相似性抑制等进化机制可最终找出最优解,它比传统的量子进化算法具有更好的种群多样性、更快的收敛速度和全局寻优能力.在此不仅从理论上证明了该算法的收敛,而且通过仿真实验表明了该算法的优越性
Abstract : the characteristics of quantum computing and the mechanism of immune evolution are analyzed and discussed . inspired by the mechanism in which immune cell can gradually accomplish affinity maturation during the self - evolution process , a immune evolutionary algorithm based on quantum computing ( mqea ) is proposed . the algorithm can find out optimal solution by the mechanism in which antibody can be clone selected , memory cells can be produced , similar antibodies can be suppressed and immune cell can be expressed as quantum bit ( q - bit ) . it not only can maintain quite nicely the population diversity than the classical evolutionary algorithm , but also can help to accelerate the convergence speed and converge to the global optimal solution rapidly . the convergence of the mqea is proved and its superiority is shown by some simulation experiments in this paper
文摘:分析和探讨了量子计算的特点及免疫进化机制,并结合免疫系统的动力学模型和免疫细胞在自我进化中的亲和度成熟机理,提出了一种基于量子计算的免疫进化算法.该算法使用量子比特表达染色体,通过免疫克隆、记忆细胞产生和抗体相似性抑制等进化机制可最终找出最优解,它比传统的量子进化算法具有更好的种群多样性、更快的收敛速度和全局寻优能力.在此不仅从理论上证明了该算法的收敛,而且通过仿真实验表明了该算法的优越性