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neural相关的网络例句

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与 neural 相关的网络例句 [注:此内容来源于网络,仅供参考]

Neuroectoderm; neural crest; neural plate; floor plate; neural tube; neuraxis; neurulation; neuroblasts; stem cells; differentiation; ontogeny; morphogenesis; histogenesis; organogenesis; synaptogenesis; gangliogenesis; embryogenesis; axonogenesis; retinogenesis; gliogenesis; glial progenitor cells; oligodendrocyte progenitor cells; retinal progenitor cells; nerve growth factor; neurotrophic factors; trophic factors; growth factors; neural tube defects; anencephaly; spina bifida; neuroblastoma cells; cell migration; neurogenesis; development; developmental stages

神经外胚层;神经脊;神经板;底板;神经管;轴索;神经胚形成;成神经细胞;干细胞;分化;个体发生;形态发生;组织发生;器官发生;突触发生;gangliogenesis;胚胎发生;axonogenesis;retinogenesis;gliogenesis;神经胶质祖细胞;少突神经胶质细胞祖细胞;视网膜祖细胞;神经生长因子;神经营养因子;营养因子;生长因素;神经管故障;无脑;脊柱裂;成神经细胞瘤细胞;细胞迁移;神经发生;发展;发展进程首页上一页下一页末页共有 22 条记录,本页从第 11 到第 20 条。

A hybrid model of short-term load forecasting based on chaotic theory, correlation and neural networks is presented in this paper. Firstly, reconstruct attractors in phase spaces using chaotic theory, Secondly fit the attractor's evolvement using BP neural networks, because selecting neural network's input training data using Euclid distance and correlation, improve neural network's associative memory and ratiocinative ability, can better fit the attractor's evolvement.

提出一种将混沌理论、关联度和神经网络相结合的短期负荷预测模型,首先利用混沌理论重构负荷时间序列的相空间吸引子,然后用BP 神经网络来拟合空间吸引子的演化,由于使用空间欧氏距离和关联度联合来选取神经网络的训练样本,这样就提高了神经网络对负荷序列混沌特性的联想和泛化推理能力,能够更好的拟合吸引子的演化。

Aiming at the disadvantage of conventional BP neural network, such as selecting parameter values by the empirical method, slow convergence speed and easy trap into local minimum points, this paper designs an improved BP neural network system. In order to improve the network convergence rate and reduce the training error, this paper optimizes the initial connecting weight value of neural network by the use of ant colony algorithm and trains artificial neural network by Levenberg-Marquardt algorithm.

针对常规BP神经网络参数的经验式取值方法以及收敛速度慢,容易陷入局部最小点等缺陷,设计了一种改进的神经网络系统,利用蚁群算法优化神经网络连接权初值,并采用LM算法对人工神经网络进行训练,提高了网络的收敛速度,降低了训练误差。

For further study to improve performance, an adaptive control algorithm based on Neural Network is tried in stabilization control. A new method of selecting the initial weights of Neural Network is put forward, which is that the coefficients of discrete equivalent of continuous transfer function in traditional control are used as the initial weights of Neural Network. Adaptive Neural Network control is combined with traditional control by using different method in different segment.

作为进一步提高稳定系统性能的探讨,对基于神经网络的参数自适应调整控制方法在稳定控制中的应用进行了研究,提出了将传统校正方法经离散化后所得到的数字控制算法的系数作为神经网络权值初值的新方法,并采用分段控制,将传统校正方法和神经网络控制方法相结合,取得了较好的控制效果。

In chapter 4, basing theories and methods of scientific visualization, and artificial neural network BP algorithm, we integrate the Visual C++, OpenGL graphics library and Excel VBA technique to develop the program of artificial neural network and to make the BP algorithm visually, this program works can be divided into four parts: Using C language to develop program about BP algorithm; Using Visual C++, develop the GUI Interface, make input parameter visually; Using OpenGL graphic technique to display the training sample point in three dimension; at last using Excel DDE technique display the error graphic tables in Excel system In chapter 5, on the view of engineering application, we establish new method of surface reconstruction basing artificial neural network, develop interface program between module and commercial CAD/CAM system, meantime deeply discuss some key problems, for example, setting up the base plane, using the API technique, cutting and editing surface boundary, and also discuss the more compliant problem: how to intersect surface, at end we finish the work of translation from our surface reconstruction module to commercial CAD/CAM system, then make reverse engineering system basing artificial neural network more useful.

第四章基于科学计算可视化理论,依据人工神经网络BP算法理论模型,综合Visual C++,OpenGL图形库以及Excel VBA等多项软件开发技术,编制了人工神经网络程序,实现了BP算法的可视化映射。具体工作分为四部分:利用C语言实现人工神经网络BP算法;利用VisualC++的GUI技术开发图形用户界面,实现参数设置可视化;利用OpenGL图形技术进行三维映射,显示学习样本及训练样本点;利用微软电子表格DDE动态数据交换技术,在Excel上动态显示学习误差曲线图。第五章从工程应用的角度出发,提出了一种新的基于人工神经网络算法的曲面裁剪重构方法,完成了曲面重建模块与通用CAD/CAM系统的接口设计工作,对其中的若干关键问题进行了深入讨论,例如基平面设定、API技术的应用、边界裁剪等问题,同时,对曲面计算中较为困难的曲面相交问题也进行的专门探讨,最终完成了曲面重建模块向CAD/CAM系统的数据传输工作,使人工神经网络逆向工程系统趋向实用。

Neuroectoderm; neural crest; neural plate; floor plate; neural tube; neuraxis; neurulation; neuroblasts; stem cells; differentiation; ontogeny; morphogenesis; histogenesis; organogenesis; synaptogenesis; gangliogenesis; embryogenesis; axonogenesis; retinogenesis; gliogenesis; glial progenitor cells; oligodendrocyte progenitor cells; retinal progenitor cells; nerve growth factor; neurotrophic factors; trophic factors; growth factors; neural tube defects; anencephaly; spina bifida; neuroblastoma cells; cell migration; neurogenesis; development; developmental stages

神经外胚层;神经脊;神经板;底板;神经管;轴索;神经胚形成;成神经细胞;干细胞;分化;个体发生;形态发生;组织发生;器官发生;突触发生;gangliogenesis;胚胎发生;axonogenesis;retinogenesis;gliogenesis;神经胶质祖细胞;少突神经胶质细胞祖细胞;视网膜祖细胞;神经生长因子;神经营养因子;营养因子;生长因素;神经管故障;无脑;脊柱裂;成神经细胞瘤细胞;细胞迁移;神经发生;发展;发展进程下一页末页共有 23 条记录,本页从第 1 到第 10 条。

The fMRI studies showed that,(1) when information obtained from self-perspective covered the information obtained from other-perspective, compared to a deductive reasoning task, the mental inference task induced increased neural activity in precuneus, decreased neural activity in ventral MPFC and enhanced functional connectivity between these two brain areas;(2) this neural activity pattern was observed in understanding human's belief, but not in understanding artificial intelligence;(3) when information obtained from other-perspective covered the information obtained from self-perspective, the mental inference task induced additional increased neural activity in dorsal MPFC and the right frontal cortex, as well as enhanced functional connectivity between these two cortical areas in addition.

EEG实验发现,额叶alpha频段神经活动在信念理解任务的早期(400-800 ms)表现为去同步化,顶叶alpha频段神经活动在信念理解任务的较晚时程(600-1000 ms)则表现为同步化。

It points out the current situation and existing problems of this method. This paper actualizes the integration of Expert System and Neural Network. It excellently utilizes the advantages of Expert System and BP Neural Network, and overcomes some of their disadvantages.Neural network expert system is designed based on neural network high identification ability and theory research.

本文介绍了专家系统应用于故障诊断的原理,详细阐述了专家系统的结构、各部分功能、工作流程等,并指出了该方法在故障诊断中的应用现状和存在的问题;实现了神经网络和专家系统的结合,很好地利用专家系统和BP神经网络的优点并且克服了它们的一些缺点。

The main contents are as follows:Firstly, starting with the general situation of soil erosion and the harms caused by it, the causes leading to the local soil erosion problem are analyzed comprehensively in the paper. And connecting with the measures taking place, sticking points towards the career of soil and water conservation are expatiated upon.Secondly, Back-Propagation Neural Network, One of Artificial Neural Network is used to set up a modal about the connection of the soil erosion modulus and seven factors impacts on it, such as, rainfall, rainfall largest intensity in 30 minutes, runoff coefficient, vegetation cover percent, rate of granule, rate of physical viscidity-clay, the rate of organic matter. Through the comparison with linear regression model, the second regression model, the Chinese Soil Loss Equation, it illustrated that BP Neural Network modal is more accurate than the other three modals in forecasting the mount of soil erosion, and the BP Neural Network will have some applicability in forecasting in soil erosion.

本文以霍山县作为皖西大别山区的典型区域,主要研究了以下内容:(1)从介绍霍山县土壤侵蚀状况以及所造成的危害入手,全面分析了导致当地土壤侵蚀发生的原因,并结合当地采取的水土保持相关措施,阐述了当地水土保持工作的症结所在;(2)结合上土市水土保持试验站多年实测资料和2005年实验资料,应用BP神经网络理论,建立了次降雨土壤侵蚀量与次降雨量、最大30min雨强、径流系数、植被覆盖度等因子之间关系的模型,并通过BP神经网络的预测模型与一次回归模型、二次回归模型、CSLE模型之间的对比分析,说明了建立的BP神经网络模型在土壤侵蚀预测可以取得较回归模型和CSLE模型更高的精度,也说明了BP神经网络理论在土壤侵蚀预报中具有一定的适用性。

Neural stem cells have a strong self-renew mechanism and it can transform after a little break. Neural stem cells have a long term survival, which mean that it has more probability of wrong copy than mature cells. These cells are formed glioma stem cells in the end. The genes who adjust neural stem cells can express in glioma stem cells, which hold out glioma stem cells from neural stem cells. There is another presume that glioma stem cells come from differentiated cells. Through the gene break of these cells, they can obtain characteristics of stem cells, then form glioma stem cells.

神经干细胞具有很强的自我更新机制,获得较少突变即有可能恶性转化,而且干细胞存活时间较长,这意味着干细胞比成熟细胞发生细胞复制的错误几率更大,因外界环境的刺激而发生突变的机会更多,最终形成脑胶质瘤干细胞,同时调节神经干细胞增殖和自我更新的基因在脑胶质瘤的脑胶质瘤干细胞中也表达,这也是支持神经干细胞是脑胶质瘤干细胞来源的;也有推测认为它可能起源于已分化的细胞,由这些细胞突变发生去分化得来,并通过基因突变而获得了干细胞自我更新的特性,从而形成脑胶质瘤干细胞。

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