neural cell中文是什么意思

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中文翻译
造句

神经细胞

neural adj. 【解剖学】神经(系统)的；神经中枢的；【解剖学 ...
cell n. 1.小室，单室；隔间，舱；〔诗〕茅舍；(单个的)蜂 ...
neural cell adhesion molecule 神经细胞粘连分子; 神经细胞粘连因子,神经细胞粘着分子
neural cell model 神经细胞模型
neural stem cell 神经干细胞
partly differentiated neural cell 部分分化神经细胞
contact neural cell recognition molecule 触觉神经细胞识别分子
neural adj. 【解剖学】神经(系统)的；神经中枢的；【解剖学】背的，背侧的。 adv. -ly
neural analyzer 神经分析器
neural arch 【动物；动物学】髓弓。
neural assembly 神经集合
neural atrophy 神经病性肌萎缩; 神经性萎缩
neural axis 轴索神经轴
neural canal 【解剖学】神经沟。
neural circuit 神经回路
neural coding 神经编码
neural computatio 神经计算神经系统处理信息的一种基本算法
neural computation 神经计算神经系统处理信息的一种基本算法, 即并行分布处理。
neural computing 神经计算学
neural control 神经控制
neural correlate 神经相关物
neural crest 神脊; 神经冠; 神经脊; 神经嵴
neural cyst 神经系囊肿
neural discharge 神经冲动发放
neural ectoderm 神经外胚层

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例句与用法

Neural stem cells is a kind of stem cells defined as neural cells with the potential to self - renew and to generate all the different cell types of the nervous system following differentiation : astrocytes , oligodendrocytes , neurons
神经干细胞是一类具有分化为神经元、星形胶质细胞、少突胶质细胞潜能，并能自我增殖的多能干细胞。
Took advantage of the self - learning and self - adaptation abilities , the single neural cell control method was combined with the pid method , and furthermore the single neural psd method was also brought out
利用单神经元的自学习和自调整能力，将其与传统pd控制方法相结合，并进一步提出了单神经元自适应psd控制方法，实现了控制参数的在线自适应调整。
Embryonic stem ( es ) cells are the cells which can be self - renewing and form all kinds of specialized cells in body . researches on the development and differentiation of neural cells became easy by the use of es cells
目的胚胎干细胞( embryonicstemcell , es )是在机体发育过程中存在的具有自我增殖、更新能力，且能形成各种类型分化细胞的一类细胞。
A single neural cell self - adaptive controller is studied . furthermore , a direct digital control system of srm based on this single neural cell self - adaptive controller is designed by using mcs - 80c196kb microprocessor
本文对单神经元pid自适应控制器进行了仿真，并将此算法应用于sr电机直接数字控制系统中，以intel公司的mcs - 80196kb为控制器，进行了软硬件的设计和调试。
Tracing the developing trends of the modern control technology , the intelligent control methods with self - learning ability , such as single neural cell control , neural network control , were also been applied on the control of diesel engine
本文跟踪现代控制技术的发展方向，将具有自学习能力的智能控制方法，如单神经元自适应控制、神经网络控制应用在对柴油机的控制中。
The replacement of damaged brain cells with healthy cells cultured from stem cells is considered to potentially be a promising therapy for the treatment of stroke , neurodegeneratie disorders and een brain tumors , but finding a reliable source for generating neural cells for transplantation has been a challenge
利用培养的健康干细胞取代受损的脑细胞被认为是中风、神经变性疾病甚至脑肿瘤的有前景的治疗方法，但寻找分化为神经细胞的可靠来源用于移植充满挑战。
Then a kind of fuzzy - smith control strategies for a large dead - time system is studied and improved . the simulation results show that the fuzzy - smith control method has some excellent performances , which is suitable for systems with deadtime - varying parameters . considering that the conventional fuzzy has a shortcoming of invariable fuzzy rules , an algorithm of adjustable fuzzy rules based on a single neural cell is proposed in this paper , which is used for modifying the fuzzy control query table on - line
本文分析了模糊控制、神经网络和常规控制算法存在的不足，研究了如何将各算法的优势互补，相互融合，形成复合的自适应智能控制算法；针对大时滞系统的特点研究了fuzzy - smith控制算法，并在前人基础上做出了一定的改进研究，进一步提高了fuzzy - smith控制算法的性能；又将常规pid与神经网络有机结合，研究了单神经元pid控制算法：针对常规模糊控制不可调整模糊控制规则的局限，本文利用单神经元的自适应、自学习能力对模糊规则库进行了间接在线自调整。
In this thesis , we achieve a test - bed of motion control based on dsp using tms320f240 evm , xds510 emulator , pc , ac servo driver , ac permanent magnet synchronic servo motor and two direction graph plotter etc . the thesis analyzes the influence that the dynamic characteristic and the change of parameter of the system cause contour error of the system , then adopts fuzzy adaptive pid control method , single neural cell pid control method and fuzzy - neural network control method , and introduces the influence that the control methods lead to dynamic characteristic and contour error of the system . finally some useful results are obtained by analyzing and comparing the control methods , and it is possible to make the combination of advanced control methods and high efficiency of dsp
在此基础上，分析了系统的动态特性和参数变化对系统轮廓误差的影响，先后采用了模糊自适应pid控制策略、单神经元pid控制策略以及模糊神经网络控制策略，并详细分析和比较了这几种控制策略对系统的动态特性和轮廓误差的影响，得出了一些有用的结论，以使先进的控制策略和dsp的高效数据处理能力的结合成为可能。
Intelligent control technique and it ' s application in srd is studied in this paper . some methods such as making use of neural network to remember fuzzy rule , using neural network ' s learn ability and recollection ability to adjust proportion parameter online , improves the normal fuzzy controller ' s performance . a single neural cell self - adaptive pid controller is researched
对常规的模糊控制器进行了改进，将神经网络与模糊控制器相结合，利用神经网络的学习能力和记忆能力构成基于神经网络推理器的自适应模糊控制器，利用神经网络推理器对模糊控制器的量化、比例因子进行在线调整，改善了模糊控制器的性能，并对单神经元自适应pid控制器进行了仿真研究。
Firstly , the basic theories of artificial neural network are introduced , including neural cell model , the basic structure of artificial neural network and the study methods . the essential of bp network with function approximation and rbf network and the performance of technology are analyzed . the algorithm of bp and rbf networks are also studied
论文首先阐述了神经网络的基本理论,包括神经元模型,神经网络的基本结构和神经网络的学习方法;分析了具有函数逼近能力的bp网络和径向基函数( rbf )网络实质、技术实现问题,并研究了bp和rbf网络学习算法。