查询词典 neural process

In the process, he can push those neural pathways down so deep in his brain that his game-reflexes become inhumanly quick.

在这个过程中，他把游戏中的路径如此深入地放到了大脑之中，以至于他的游戏水平达到了他人无法理解的高度。

The human heart is the center of the cardiovascular system. Integrated with mechanical, electrical, neural and biochemical properties, the heart is difficult to model, and there is no ideal integral model now. The developed electrical models haven't considered the mechanical properties and blood flow process in the heart; while the mechanical ones have normally deal with the heart in the diastole period, and the electrical activity was simplified too much although some mechanical models have investigated the heart during systole.

心脏是循环系统的核心，它集机、电、神经和生化控制于一体，建模难度很大，目前尚无较理想的统一模型；心脏电生理模型未与心脏的机械动力过程和血液流动过程联系起来；而心脏力学模型大都只研究舒张期的力学特性，即使研究收缩期心脏的力学问题，也往往对心电兴奋做了许多简化假设。

The LCD display character is acquisited by CCD,after analysis with image process and artificial neural network theory,through grid and intersecting lines to pick up the character′s characteristic,recognize LCD display character,provide with a kind of interface for the instruments and equipments which have no standard interface with the computer but have a LCD display.

摘 要：利用CCD对LCD数码显示字符进行采集，在分析图像处理和神经网络理论的基础上，采用网格法与交线特征提取法，对LCD数显字符进行识别，为具有LCD数显而与计算机无标准通信接口的仪器仪表设备提供一种实用的无线接口。

Artificial neural network inverse method is helpful to system stability and robustness when it is applied to nonlinear TCP flow process.

神经网络逆系统方法应用于非线性的流量控制过程中有助于系统稳定性和鲁棒性。

In this paper,the TCP flow process is modeled as two order nonlinear varying-time system.By analyzing the invertibility of the system,a new AQM algorithm based on artificial neural network inverse system theory that is a newly developed nonlinear theory with good robustness is proposed.

在研究中，TCP的流量控制过程被视为二阶非线性时变系统，并通过可逆分析，证明该系统可逆，采用神经网络逆系统这种近年来发展起来的非线性鲁棒控制理论作为控制器的设计方法，设计出一种新的主动队列管理算法。

Fund Project: the National Natural Science and Technology Source Program, No. 2001DEA1006*Abstract: Number of neural stem cells is small. NSCs look like circle or ellipse with or without short neurite, with large nuclear-cytoplasmic ratio and deep karyotin. NSCs have no visible differences with other kinds of cells in appearance, and have no cell surface marker. Currently, there are mainly three aspects to identify NSCs: expression of specific nerve antigen, including nestin, Musashi, transcription factor, and cell adhesion molecules; self-renewal ability including single cell clone analysis, BrdU mark and S phase cell; the potential of multi-direction differentiation including immunocytochemical process and reverse transcriptase polymerase chain reaction.

由于神经干细胞的数量很少，从细胞形态来看神经干细胞为圆形或椭圆形，无或有较短的突起，核质比大，核染色较深，形态上与其它种类的细胞没有明显的差异，并且未找到一种细胞表面特异性标志物，因此目前鉴定神经干细胞主要有以下3个方面：特异性神经抗原的表达，包括巢蛋白、Musashi、转录因子及细胞黏附分子；自我更新能力，包括单细胞克隆分析、BrdU标记S期细胞；多向分化潜能，包括免疫细胞化学法、聚合酶链反应色法。

Number of neural stem cells is small. NSCs look like circle or ellipse with or without short neurite, with large nuclear-cytoplasmic ratio and deep karyotin. NSCs have no visible differences with other kinds of cells in appearance, and have cell surface marker. Currently, there are mainly three aspects to identify NSCs: expression of specific nerve antigen, including nestin, Musashi, transcription factor, and cell adhesion molecules; self-renewal ability including single cell clone analysis, BrdU mark and S phase cell; the potential of multi-direction differentiation including immunocytochemical process and reverse transcriptase polymerase chain reaction.

由于神经干细胞的数量很少，从细胞形态来看神经干细胞为圆形或椭圆形，无或有较短的突起，核质比大，核染色较深，形态上与其它种类的细胞没有明显的差异，并且未找到一种细胞表面特异性标志物，因此目前鉴定神经干细胞主要有以下3个方面：特异性神经抗原的表达，包括巢蛋白、Musashi、转录因子及细胞黏附分子；自我更新能力，包括单细胞克隆分析、BrdU标记S期细胞；多向分化潜能，包括免疫细胞化学法、聚合酶链反应色法。

Aimed at the characteristic of multiple types of faults possibly happened in nuclear power plant, large scale of training sample, and requirement of quick and accurate diagnosing, after the analysis of large sample number generated by large fault type exceeds limitation of 64K paragraph in DOS and large number of local minmum in error surface, measurements of same format of data file, Win95/NT operating system platform, resetting weight learning rate, dynamic training set in quick learning algorithm and improvement on quick learning algorithm using homotopy method which can avoid local minmum points in error surface have been adopted to ensure quickly and effective process of the course of neural network's training and testing.

针对核动力装置可能发生的故障种类多，训练样本规模大，故障诊断需要快速准确的特点等，分析了样本多和故障种类多产生的训练样本量超出DOS段大小和网络误差曲面上局部极小值多的情况，采取了使用相同格式数据文件、Win95/NT操作系统平台，对快速学习算法采用重置神经网络权值学习率和动态训练集、并采用能够有效克服网络误差曲面上局部极小点的同伦方法对学习算法进行改进等措施保证神经网络训练测试过程的快速、有效地进行；针对装置发生的故障须快速、准确诊断的需要，分析了故障的产生对装置参数变化的影响及操纵员对故障诊断的基础，在核动力装置发生故障时参数曲线的变化量与正常运行时参数曲线的变化量存在明显差异的基础上，提出采用参数曲线的变化量作为神经网络的输入，并围绕参数变化量的方法采用二次曲线拟合滤波求变化量和阈值技术来保证神经网络得到精确的装置参数变化量，从而得到准确的诊断结果。

The experimental result shows:1 acupuncture and moxibustion on DU4 and RN4 can lighten inflammationreact , suppress the inflammation course, DU4 has the best result.2 IL-2 is the important factor of participating the immune respondence.Acupuncture and moxibustion can increase IL-2 content in the blood , thusstrengthen the immune function of the organism .3 acupuncture end moxibustion can raise β-EP content of lower thalamus ,hypophysis , lymph gland. it proves that acupuncture and moxibustion can stimulateand accelerate compound、store 、process 、shifting utility of β-EP content; andstrengthen the immune regulating function of the organism, acupuncture function isstrong rapidly, moxibustion function is slow and gentle, the regulating action powerof moxibustion has close relations with choice of the point . The possible reason isthat y whether acupuncture and moxibustion bring into play their regulating actionthrough different way of neural body fluid.4 The DU4、RN4、FEI point influence rule apply on change of β-EP content ofabove-mentioned organism.

实验结果显示：1 针灸命门和关元穴能减轻炎症反应，抑制炎症过程，命门穴效果最好。2IL-2 是参与免疫应答的重要因子，而针灸能增加血中 IL-2 含量，从而增强机体的免疫功能。3 针刺和艾灸可以升高下丘脑、垂体、淋巴结β-内啡肽含量，说明针灸可以刺激并加速β-内啡肽含量合成、储存加工和转移利用；增强机体的免疫调节功能，针刺作用迅速强烈，艾灸作用缓慢温和，艾灸的调节作用强弱还与穴位的选择有密切关系。

To solve the inconsistency between planning parameters and practical parameters under a time horizon of master production schedule in process enterprises, an optimized model of integrating auto regressive moving average model with back propagation algorithm of artificial neural network is proposed.

为了解决流程型企业主生产计划时段中计划参数与实际参数的不一致性问题，提出了自回归滑动平均模型与反向传播人工神经网络的集成优化模型。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。