查询词典 neural

BP neural networks have been widely used in mode recognizing, image processing, system control etc A lot of study has been done on the training algorithm of BP neural networks But there are still many short comings To complete the training of the weights of a BP neural network, the key problem is how to overcome the staying at the local minimum points as well as how to increase the training speed based on this condition This paper comes up w...

BP神经网络被广泛应用于分类模式识别、图像处理和系统控制等领域人们对BP网络算法进行了许多的研究，但尚有其不足之处为完成其权的训练，问题的关键在于如何避免陷入局部极小及在此前题下如何提高学习速度为此，就如何选取学习率η和动量矩α提出了改进方案，并应用于数字识别，得到了较为满意的结果

The experimental results indicate that the LMBP neural network has higher classification rate, more rapidly converge velocity by comparing with other improved BP algorithm and the Radial Basis Function neural network. Through the experiments of recognizing the sonar image polluted with Gaussian noise, it is proved that the LMBP neural network has good stability and better anti-noise performance.

通过与标准BP算法和几种常用改进型BP神经网络以及径向基函数网络比较，验证了用LMBP神经网络作为声纳图像识别系统中的分类器，能够提高图像的识别率，加快网络的收敛速度，通过对受不同程度高斯白噪声污染的声纳图象的识别，验证了其性能稳定，具有较好的抗噪声性能。

At first, this paper surveys nonlinear control and the applications of neural networks in control respectively. Then it studies definitions, mathematical descriptions and conditions of invertibility for nonlinear systems, which are used to analyze the feasibility of inverse system control method. Conclusions about the feasibility of inverse control and the realizability of αth-order inverse systems in engineering are achieved. Furthermore, this paper discusses the feasibility, structure and identification of neural network αth-order inverse system for general single-input single-output continuous or discrete nonlinear systems and various composite control methods based on the αth-order inverse. At last, as a part work of an actual project, this paper focuses on the design of neural network αth-order inverse control method for thyristor controlled series compensation in power systems and its effect in improving the stability of power systems.

本文首先分别概述非线性系统的控制与人工神经网络在控制中的应用；然后研究非线性系统各种可逆性的定义、数学描述及可逆性条件，并用于分析逆系统控制方法的可行性，得出有关逆系统控制方法可行性的结论，阐明一般情况下α阶逆系统才工程可实现；接着本文针对一般单输入单输出连续、离散非线性系统，研究神经网络α阶逆系统的可行性、结构与辨识以及基于神经网络α阶逆系统的各种复合控制方法，并给出应用例子；最后本文结合实际项目，针对采用可控串补的电力系统，设计神经网络α阶逆系统控制方法，研究其对提高电力系统稳定性的作用。

Neurulation is an important stage in the embryo development of vertebrate, during which the ectoderm thickens into epidermal neural plate and then forms neural folds and neural tube.

脊椎动物胚胎发育过程中，神经胚期是一个重要的发育时期。这个阶段胚胎外胚层增厚形成上皮型神经板，神经板两侧隆起形成神经褶，随后神经褶两侧向背中线合拢并愈合成神经管。

Neuroectoderm; neural crest; neural plate; floor plate; neuraxis; neuroblasts; neural stem cells; neuroprogenitor cells; 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; neuroblastoma cells; cell migration; neurogenesis; development; developmental stages

神经外胚层神经脊；神经板；底板；轴索；成神经细胞；神经干细胞；神经母细胞；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；神经节发生；胚胎发生；轴突发生；视网膜发生；神经胶质发生；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；成神经细胞瘤细胞；细胞迁移神经发生；发展；发育阶段

Based on analyzing regression analysis, neural network and the least square support vector machines that the three soft computing methods fitting for data fitting, in the paper try to use nonlinear regression analysis, the BP neural network based on Levenberg-Marquardt training algorithm, radial basis function neural network on orthogonal least square training algorithm and least square support vector machines for tracking the position of glass plate.

本文在分析适于数据拟合的回归分析、神经网络、最小二乘支持向量机这三种"软计算"方法的基础上，尝试将非线性回归分析方法，基于Levenberg-Marquardt算法的BP神经网络，基于正交最小二乘训练算法的径向基函数神经网络和最小二乘支持向量机应用于玻璃板位的跟踪中。

It is suggested that physiographic features, which are ignored in current neural network models, can be and should be put into the neural network learning mechanism. This, together with hydrological features, would enable the neural network models to remedy the limitations mentioned above.

本研究提出一个新的解决方案，将集水区地文特徵参数导入类神经网路的学习机制内，使模式能够同时考量地文与水文因子来进行水特徵的推估，以突破类神经网路模式现有的应用限制。

Results Trunk neural crest stem cells were successfully isolated and cultured. The immuocytochemcal result showed that the cells were nestin-and P75-positive. Trunk neural crest stem cells grew through adhering to chitosan fiber after inoculation. Under an electon microscope, the spindle-shaped trunk neural crest stem cells were proliferated and migrated along the fiber. The cells arranged side by side or linked by heads and tails in processes. The ends of S-100 positive cells were flat and expanded, adhering to the fiber as claw-shaped pseudopodium.

结果 采用神经管植块法培养的神经嵴干细胞，免疫细胞化学染色呈现nestin及P75双阳性，将其接种在壳聚糖纤维支架材料上，可见神经嵴干细胞贴附于壳聚糖纤维上生长；S-100免疫细胞化学染色显示，S-100阳性细胞突起的末端呈扁平状膨大；扫描电镜显示，壳聚糖纤维上的躯干神经嵴干细胞为梭形，呈现"端对端"、"肩并肩"排列，伸出爪形伪足贴附于壳聚糖纤维上。

First, the paper introduces the sturcture of feedforward neural network and classical back-propagation learning algorithm, then systematic analysis and reserch are made to the various learning methods of RBFNN(Radical Basis Function Neural Network). The idea and algorithm frame of evolution strategy are presented and introduced to the learning algorithm of BP Neural network to improve the performance of it.

本文首先阐述了前向神经网络的结构以及经典的反向传播学习算法，尤其是对RBF网络的各种学习算法进行了比较系统的分析研究，然后又介绍了进化计算的思想和算法框架，并把这种算法思想引入到BP网络学习思想中去对BP算法进行了改进。

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。

Summary In copyright infringement cases,if the alleged infringer uses or even plagiarizes the copyrighted works or parts thereof,which causes no substantially adverse effect on the normal exploitation of the work,nor does it inflict any substantial damages to the right owner,the de minis doctrine should be applied to exempt the liabilities of the defendant and seek the balance of interests between the right owner and the general public embodied by the copyright law.

在侵犯著作权案件中，如果被控侵权行为人虽未经著作权人的同意，使用甚至抄袭了受著作权保护的作品或作品的片段，但若情节轻微，未对该作品的正常使用产生任何实质不利的影响，亦未对权利人的权利造成实质性的损害，则应适用&不计琐细原则&，免除行为人的责任，以寻求在权利人利益与著作权法所体现的社会公共利益之间的平衡。

This new product will become our best seller.

这个新产品会成为我们最畅销的产品。