自反馈的英文

• self feedback
• self-feed back
• self-feedback

• "馈"英文翻译    make a present of
• "自反馈的" 英文翻译 :    self-feedback
• "自反馈电路" 英文翻译 :    self-feedback ciucuit
• "自反馈放大器" 英文翻译 :    self feedback amplifier; self-feedback amplifier
• "自反馈式磁放大器" 英文翻译 :    amplistat
• "自反馈放大器 内回授放大器" 英文翻译 :    self-feedbackamplifier
• "自反" 英文翻译 :    analagmatic
• "内反馈或自反馈式磁放大器" 英文翻译 :    amplistat
• "反自反" 英文翻译 :    irreflexive
• "自反的" 英文翻译 :    anallagmatic; reflexive verb
• "自反格" 英文翻译 :    reflexive lattices
• "自反力" 英文翻译 :    self-reaction force
• "自反模" 英文翻译 :    reflexive module
• "自反身" 英文翻译 :    self-reflexive
• "自反性" 英文翻译 :    reflexive relation; reflexivity
• "自反印" 英文翻译 :    work-and-turn
• "自反域" 英文翻译 :    reflexive domain
• "自反转" 英文翻译 :    self reversal
• "反馈" 英文翻译 :    [电学] feedback; couple back; retroaction; tickling; back feed; recuperation; back-tracking; back coupling; return coupling 负反馈 negative feedback; 正反馈 positive feedback; 信息反馈给政府有关部门。 the information is fed back to the government department concerned
• "半自反的" 英文翻译 :    semireflexive
• "半自反空间" 英文翻译 :    semireflexive space
• "半自反性" 英文翻译 :    semireflexivity
• "反自反关系" 英文翻译 :    irreflexive relation
• "反自反性" 英文翻译 :    anti reflexiveness; irreflexivity
• "非自反的" 英文翻译 :    irreflexive; non-reflexive

• Study of the impulsion frequency of self - feedback hydraulic impulsion tool
  自反馈式水下液压冲击器冲击频率的确定
• On the other hand , the maintaining system of rule base guarantees the dynamic adaptation of self feed back model
  同时设计了规则库维护系统，以保证自反馈模型的动态适应性。
• Self feed back model that adopt fuzzy deduce technology and fuzzy integrate judge mechanism is introduced in this article , it is the kernel function model of intelligent instruction system
  论文的自反馈模型采用以模糊数学为基础的模糊推理技术和模糊综合评判机制，是智能学习系统的核心功能模块。
• Therefore , self feed back model is a key technique to meet the demand of individual intelligent instruction system , and will be a stubborn base to make individual distance education popularize ^ spread and practice
  自反馈模型较好解决了智能学习系统个性化要求的关键技术，为个性化远程教育的普及与更好的推广、实施打下了基础。
• This thesis is composed of two chapters . the first chapter deals with one kind of two - neuron neural networks with positive self - feedback coefficient . in chapter 2 , we discuss the simular system with negative self - feedback coefficient
  本文分两章，第一章讨论自反馈系数均为正的双阈值的二元神经网络模型( ) ，第二章讨论自反馈系数均为负的双阈值二元神经网络模型( ) 。
• Some achievements acquired are as the follows : ( 1 ) to meet the demands of the identification and control of nonlinear dynamic systems , the dynamic recurrent neural networks ( drnn ) are applied in this study , which integrate the nonlinear mapping abilities of the feedforward nn with the dynamic evolution capabilities of the feedback nn
  本文的研究成果包括: 1 .为满足非线性动态系统辨识与控制的需要,本文结合了静态前馈神经网络与动态反馈神经网络的优点,采用具有隐层自反馈的elman型动态递归神经网络( drnn )以实现基于神经网络的弹性连杆机构振动主动控制。
• The results show that , when and 02 are in various intervals , the trajectories for systems ( i ) are either ultimately periodic or convergent to an equilibrium . the difference between system ( i ) and system ( ii ) only lies on the sign of self - feedback coefficient , but their asymptotic behavior of trajectories are much different . for the given initial value , the solutions for system ( ii ) all converge to the certain equilibrium
  结果表明：当_ 1和_ 2在不同的取值范围内，系统( )的解或收敛到某一平衡点，或无限逼近于某个周期解，且部分_ 1 ， _ 2下的极限环全局稳定；系统( )与系统( )的区别仅在于自反馈系数的符号为负，但由此其解轨线的极限性态发生了很大的变化，对于确定的初值，系统( )的解均收敛到确定的平衡点。
• The knowledge base of the model including fuzzy deduce parameters , the weigh parameters of judge factors which are setting by education experts and fuzzy deduce rules which come from experience of education experts is a form of information for the knowledge of experts and precondition to make self feed back system intelligent
  该模型中的知识库包括教学专家设置的模糊推理参数和评判因素的权重参数以及基于专家经验的模糊推理规则等，是教学专家知识的信息化形式，是自反馈模型具有智能化的前提。
• But all the models of neural networks before are assumed that self - feedback is linear which can not reflect the essentiality of the neural networks . so in chapter two of this paper , the self - feedback is improved and can be nonlinear . moreover , basic features of this kind of neural networks are investigated
  但是以往所提出的该类神经网络模型都假设自反馈项为线性的，不能真实的反映其本质，所以在本文的第二章将对原有的动态神经网络模型进行推广，并研究推广模型的一些基本特性。
• Aiming at overcoming such deficiency , this article gives pilot study and discussion on how to realize " distance intelligent instruction system based on web " . through collecting the learning action learning fashion ^ knowledge comprehension information , learning time , test result and many other factors dynamically and putting these factors analyzed by self feed back system , then , after deducing , we can get learning ability , learning character , learning effect and some other results quickly , these results are sources to form learning content dynamically in order to meet the requirements of individual education
  针对以上不足，本论文对如何实现“基于web的远程智能学习系统”进行了初步研究、探讨，通过动态收集学生的学习动作、学习方式、知识理解情况、学习时间、考试情况等诸多因素，经过自反馈系统的分析、推理，快速获得学习者的学习能力、学习特征、学习效果等反馈结果，为满足个性化学习、动态形成最适合该学生的学习内容提供依据。

• 自反馈的日语：じこきかん セルフフィードバック