查询词典 neural

Objective whether ganoderma spores can promote the neural epithelia of embryonic neural tube stagnated by retinoic acid in G0/G1 phase reentering into the cell cycle, and keep proliferation and differentiation, which can reduce the occurrence of neural tube defects.

目的 探讨灵芝孢子能否促进受维甲酸诱导停滞在G0/G1期的胚胎神经管神经上皮细胞重新进入细胞周期循环，继续增殖和分化，减少神经管畸形的发生。

A neural network predictive control based on neural network multistep prediction and a neural network predictive control for autopilots of ships based on fuzzy predictive model are proposed.

提出了基于神经网络多步预测输出的船舶航行神经网络预测控制。提出了基于模糊预测模型的船舶航行神经网络预测控制。

By combining model reference adaptive control and neural network control ,a novel model reference adaptive neural network control scheme is proposed for the ship steerings nonlinear model.In the procedure ,the RBF neural networks are used to approximate nonlinear systems;The weights can be achieved by use of Lyapunove approach.To compensate the approximation error and attenuate the external disturbance,a robust technology is introduced to the proposed scheme.

针对船舶航向非线性不确定系统，提出了一种把神经网络和模型参考自适应控制结合在一起的新的控制算法，此算法首先通过系统的已知动态特性设计一个稳定的反馈控制器，然后利用RBF神经网络逼近未知非线性，从而消除不确定性的影响。

Firstly, This text has described information fusion technology characteristic, form structure and concrete processing method, and application of information fusion in fault diagnosis proves the feasibility and validity from the angle of information theory. Based on this,it is combined the fault diagnosis of aeroengine with Information fusion, a method and model which the fault diagnosis of aeroengine information fusion is brought forward. a research which combined neural networks with D-S evidence is brought forward. Based on the analysis of single neural network characteristic, the model of roted neural network is put forward. With the simulation based on the example, we can know evidence theory fusion improved the fault diagnosis It is hard to give the basic probability function in the process of using the evidence theory, So the model based on network and D-S evidence is put forword.

本文首先论述了信息融合技术的特点、形式结构和具体的处理方法，并从信息论的角度论证了信息融合技术在故障诊断中的可行性和有效性；在此基础上，将航空发动机故障诊断与信息融合相结合，提出了一种基于信息融合技术的发动机故障诊断模型和方法，并在此基础上，提出和分析了基于人工神经网络和D-S证据理论的信息融合故障诊断，研究了神经网络的建模方法、组建原则和实现策略，并结合诊断实例进行了分析；提出了基于D-S证据理论的决策融合，阐述了D-S证据理论的方法，模型，并结合算例进行了分析。

The main contents of the thesis include: the requirements analysis of neural computation to neurochip; the architecture of digital general-purpose neurochip; the design and implementation of neurochip hardware; the architectures of neurocomputer that can be built out of the neurochip; the neural network mapping algorithms; the user integrated developing environment with friendly interface; and the study of algorithms for neural network models.

本文的主要研究内容有：神经计算对神经芯片的需求分析；通用数字神经芯片体系结构；芯片硬件的设计与实现；基于神经芯片的神经机系统结构；神经网络映射算法；友好的用户开发环境；神经网络算法，等等。

According to the characteristic of wavelet packet transformation and fuzzy neural network, this paper proposed a new method of discriminating fault line for single-phase ground in distribution system based on the wavelet packet transformation and fuzzy neural network. The wavelet packet fuzzy neural network trained by the post fault zero sequence current is used to discriminate the fault line.

根据小波包变换和模糊神经网络的特点，提出了基於小波包变换模糊神经网络的一种小电流接地系统单相接地故障选线方法，即利用经过接地后零序电流训练的小波模糊神经网络来判别接地线路。

The engine monitor requires accurate predictions of rational velocities. A prediction model is constructed on the basis of flat neural network A fast recursive algorithm is used to improve the learning speed by forgetting factor. Accordingly, the present neural network algorithm leads to considerable reduction of effort in network weighting matrix as well as increase of self-learning and adaptability of neural network algorithms to nonlinear and nonstationary systems.

发动机监测器以精确的转速预测为前提，通过构建扁平化神经网络预测模型，并根据遗忘因子思想改进快速递推算法，既减少网络权矩阵的计算量，又充分发挥神经网络算法对非线性和非平稳系统的自学习能力。

According to the study result of the recognizers based on Hidden Markova Model and on distance classification respectively,in this paper we introduce two handwriting recognition systems based on neural network ensemble,the comparison neural network recognition system and the permutation neural network recognition system.

国家自然科学基金项目（40776044）；上海市自然科学基金（08ZR1404600）马婉婕，硕士，主研领域：人工智能，图像处理在研究基于隐马尔可夫模型的识别器和基于距离分类器的识别器的识别结果基础上，提出两种基于集成神经网络的手写识别系统：比较神经网络识别系统和全排列神经网络识别系统。

The adaptive learning of neural network can fulfill the minimum absolute deviation criteria, so this dissertation puts forward the algorithm that can be implemented by the neural network.

利用神经网络的自适应学习特性和在处理非线性问题时能够满足最小绝对偏差准则的性质，给出了该算法的神经网络实现方法。

At present there is no effective therapeutics to treat PD except the allopathy. The discovery of neural stem cells in the adult mammalian brain provides a new chance to effect a radical cure on PD. But how to make the limited neural stem cells proliferating enough and differentiating into the dopaminergic neurons which can repair the nigrostriatal pathway and help to eliminate the PD symptoms becomes an urgent problem.

成年动物脑内神经干细胞的发现为根治帕金森病提供了新的细胞源泉，但如何使有限的神经干细胞增殖到足够数量并转化为多巴胺能神经元，使之能够修复黑质纹状体通路，逆转帕金森病临床症状，是目前亟待解决的问题。

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。