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总和效应
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  summation effect
     Conclusion The temporal summation effect of secondary excitation can explain the phenomenon of sensation slow propagating along meridians in TCM.
     这种时间总和效应有助于解释沿经脉感觉慢速迁移现象。
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  “总和效应”译为未确定词的双语例句
     Discharges from individual single neurons were recorded extracellularly with the use oftungsten or glass microelectrodes.
     这些结果表明来自皮肤和来自内脏的伤害性传入能在脊髓背角水平发生会聚,表现为协同反应的空间总和效应
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     In addition, the model can be easily implemented by hardware and software in engineering.
     该模型具有生物神经元的主要特性,如总和效应、潜伏期和不应期等,并且兼顾到在工程上其容易由硬件、软件实现等问题.
短句来源
     Method: The SPR operation was performed in each of the three groups, and monitored the threshold of each dorsal sub-roots, and study the results of double times threshold stimulation and the results of the total " time and space" of the subthreshold stimulation.
     万法:将动物分成三组,分别进行SPR手术,进行脊神经后根亚束阈值的测定,并对阈值的两倍刺激效应和阈下刺激的时间空间总和效应进行研究。
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     The effecting way of diabetes family history on type 2 diabetes was direct mainly,and the magnitude of which was larger(the integrated effect coefficient was 0.218 4).
     糖尿病家族史对 2型糖尿病的作用方式主要为直接作用 ,且作用较大 (其总和效应系数为 0 .2 184 ) ;
短句来源
     While,psychological factors and life styles(lacking of physical exercises,preference for fatty food) indirectly affected the occurrence of diabetes through blood pressure and obesity besides their smaller direct effect.
     而精神心理因素、生活方式 (不常体育锻炼、喜食脂肪 )除了有较小的直接作用外 ,更主要是通过血压和肥胖间接影响糖尿病的发生 (其总和效应系数分别为 0 .2 0 35和 0 .0 85 8) ;
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  相似匹配句对
     ‘DaVinci Effect’ in the Electronics Industry
     “达芬奇”效应
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     Gravitational Lens Effect
     引力透镜效应
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     The Sum of All Feals
     恐惧的总和
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     The Sum of All Fears
     恐惧的总和
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  summation effect
The spatial summation effect was still significant at 3 mm and undetectable at 4 mm tip separation.
      
Heart rate increased during chlorthalidone therapy, decreased during labetalol therapy, and a summation effect was observed during treatment with the combination.
      
After 3?years, only 79.0% (summation effect of negative scores) of the restorations were still performing at clinically acceptable levels.
      
When there are two such inter faces, a summation effect occurs and is ob served within the central tissue.
      


The paper first summarizes some basic performances of the neuron, gives the new explanation for the Hebb 's law modifying the strength of the synapse control, obtains the conclusion that the timespace summation of neuron is only intermittant working. An artificial neural net is derived by directly simplifying the Hodgkin-Huxley equations governing the neuro. Lastly, an example is given that the multi-layer neural networks can realize the exclusive or assortment. This model has the primary performances of neuron,...

The paper first summarizes some basic performances of the neuron, gives the new explanation for the Hebb 's law modifying the strength of the synapse control, obtains the conclusion that the timespace summation of neuron is only intermittant working. An artificial neural net is derived by directly simplifying the Hodgkin-Huxley equations governing the neuro. Lastly, an example is given that the multi-layer neural networks can realize the exclusive or assortment. This model has the primary performances of neuron, for example, the summafion, the latency and the refractory period.In addition, the model can be easily implemented by hardware and software in engineering.

本文首先总结了生物神经元的一些基本特性,对调节联接的霍伯(Hebb)规则提出了新的见解,得出生物神经元的总和过程是间歇式的结论,通过对支配神经元活动的Hodgkin-Huxley方程进行合理简化得到一个具有类似于生物神经元动作方式的人工神经元;给出了这一模型的电路实现和解析解 ;最后,研究了该模型组成的多层网络实现异或分类问题.该模型具有生物神经元的主要特性,如总和效应、潜伏期和不应期等,并且兼顾到在工程上其容易由硬件、软件实现等问题.

The tipical tin bearing image feature of remote sensing images,is mainly annular structuresthat have complex linear annular texture accompanied by linear structures.By the analysis of geologyworks including geology,ore deposits,gcochemical and geophysical infoimation,etc. and their corresponding remote sensing images of the known tin deposits,those special geology features heat blocks,magnetic anomaly blocks,radioactive high energy blocks,nearly isometric physic difference texture,annular structure system, mineralizer...

The tipical tin bearing image feature of remote sensing images,is mainly annular structuresthat have complex linear annular texture accompanied by linear structures.By the analysis of geologyworks including geology,ore deposits,gcochemical and geophysical infoimation,etc. and their corresponding remote sensing images of the known tin deposits,those special geology features heat blocks,magnetic anomaly blocks,radioactive high energy blocks,nearly isometric physic difference texture,annular structure system, mineralizer and mineral,altered spherical band mineralization,the grade system of magma structure mineralization unite,etc. in tin bearing geological blocks,are the internal mechanism which result in the tin beariug annular structure features (line ring targent contacting texture,double annular texture,the correspondence of polygeoscientific ring,etc.) of remote sensing images.That is,thetin bearing annular struetures of remote sensing images,integral reflect of special geological features ofthe tin bearing geological blocks as the fonn of electromagnetic wave on remote sensing sensorall of thegeologiccal effect of remote sensing images.

遥感图像中典型的赋锡影像是环块构造,是以环形体为主,线性体相伴的线一环复合结构。根据遥感基本原理,将遥感地质学与矿床学相融汇应用,将已知锡矿床的地质资料与其赋存的遥感影像图案对应分析,认为遥感图像赋锡环块构造是赋锡地质体所特有的地学特征以电磁波形式在传感器中的总体反映──遥感影像的地学总和效应

The authors propose a new neural network utilizing time summing effect of neuron for processing time series, Three kinds of possible architectures are considered in this paper and we stress one of them. lt. performs very well in simulation expedients. lt. has been found that the learning process will become rather simple if the time series is composed of high dimension unity vector. Two methods for translating any time series into high dimension unity vector are given in the appendix. In the last part of this...

The authors propose a new neural network utilizing time summing effect of neuron for processing time series, Three kinds of possible architectures are considered in this paper and we stress one of them. lt. performs very well in simulation expedients. lt. has been found that the learning process will become rather simple if the time series is composed of high dimension unity vector. Two methods for translating any time series into high dimension unity vector are given in the appendix. In the last part of this paper, simulation exeriments which confirmed the features of this network are described. It. can be seen that this network can reproduce the training series exactly.

作者描述了一种新型的利用神经元的时间总和效应构成的用于处理时间序列的神经网络模型。我们考虑了三种可能的网络结构并着重研究了其中的一种,发现它在仿真实验中执行得很好,而且如果时间序列是由高维单位矢量构成的,则学习过程将变得比较简单,因此在附录中我们给出了两种将任意时间序列转变为高维单位矢量的方法。本文最后描述了证实这个网络特性的仿真实验并可看出此网络能确切地重复再现训练序列。

 
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