1)  Self-learning+
自学习+
2)  self-learning
自学习
1.
Mathematical model for coiling temperature control of hot rolled strip and its self-learning;
热轧带钢卷取温度控制模型及其自学习+
2.
Research on weights self-learning method based on Bayes Net;
基于贝叶斯网络的权重自学习+方法研究
3.
Research on self-learning of knowledgeable manufacturing pattern selection in product life cycle;
产品全生命周期制造模式选择的自学习+研究
3)  self-learn
自学习
1.
To deal with the deficiency of the self-learn method of heat transfer coefficient during plate laminar cooling process,a BP neural network was put forward to improve the self adapting system.
针对中厚板在轧后层流冷却过程中采用传统自学习+方法修正计算对流换热系数存在的不足,提出利用BP神经网络对自适应系统进行改进。
2.
The self-learn algorithm of the first the second start rolling temperature and is presented.
基于中厚板轧制过程的实际情况 ,提出实测温度的几种处理方法 :(1)采用有限差分法分析钢板厚度方向的温度分布 ,并提出钢板表面温度与平均温度差值的变化规律 ,从而使实测温度合理应用成为可能 ;(2 )提出一次开轧温度和二次开轧温度的自学习+算法 ;(3)结合实测轧制力来确定实测温度的误差范围。
3.
Setup calculation function and self-learn function belong to automatic width controlling technology used by Pangang hot strip mill has been introduced.
宽度是生产过程优胜的基础,本文对攀钢1450mm热轧厂自动宽度控制的设定、短行程及自学习+功能作了较为详细的介绍。
4)  self learning
自学习
1.
According to the technological characters, the characters of the intelligent system for technology decision making in EDM are analyzed in this paper, furthermore, systematic structure with self learning of the intelligent system for technology decision making in EDM is constructed and function of every module and relationship among them are analyzed in details.
针对电火花加工工艺的特点 ,分析了其智能决策系统应具有的特点 ,进而构筑了具有自学习+功能的电火花加工工艺智能决策系统的结构 ,详细分析了系统中各模块的功能及相互间的关系。
2.
The self learning function and its performance of furnace pressure control for rotary hearth furnace are described mainly.
介绍了无缝钢管厂热轧线环形加热炉和步进加热炉控制系统的组成及功能,重点叙述了环形炉炉膛压力控制自学习+功能及其实现。
3.
This paper gives an analysis of coiling temperature control ( CTC ) for hot strip rolling , based on basic CTC control model , two new algotithms are developed : full-long feedback control and strip head set-up self learning.
对带钢热连轧卷取温度控制(CTC)的主要问题进行了分析,描述了CTC基本控制模型,并在此基础上,提出了两个新算法:全长反馈控制与头部设定自学习+
5)  self-study
自学习
1.
The application result is that this system can realize history and real-time data auto introduction,primary fault diagnosis,exact fault diagnosis,and self-study functions,and can meet reliability and preci.
应用结果表明,该系统能够实现历史和实时数据自动导入、故障初级诊断、精密诊断和自学习+,能够满足故障诊断的可靠性和精确性的要求。
2.
How to setup one kind of semi-automatic model and to self-study in computer control system of hot strip ,mill were discussed for making up the lack of process control computer in some system.
在热连轧精轧计算机控制系统中 ,为了弥补一些系统无过程机的缺陷 ,探讨了如何建立一种半自动模型和对模型进行自学习+的方法 ,其实际应用情况证明 ,半自动设定模型在提高热轧带钢头部命中率 ,及促进AGC调节上具有较好效
3.
A self-study intelligent fault diagnosis analysis system (SS-IFDAS) is proposed to solve the impendency and lack of research on the fault diagnosis of DJ-1 electric locomotive.
针对目前DJ-1型电力机车在故障诊断方面的迫切性和研究不足,提出了基于自学习+的智能故障诊断分析系统;文中介绍了该系统的总体设计方案,详细说明了诊断系统知识库的建模过程和具体实现方式,并讨论了专家系统应用协议的实现方式,最后介绍了该系统应用于DJ-1型电力机车的优越性。
6)  parameter self_learning PID
自学习PID
1.
It consists of a parameter self_learning PID controller using liner neuron and a feedforward controller and a proportional controller.
本工作利用线性神经元参数自学习+PID控制和前馈控制 ,通过ControlBuild编制成控制模块 ,下载到底层控制器实现温度控制 。
参考词条
补充资料:部分学习与整体学习


部分学习与整体学习
part learning and whole learning

  部分学习与整体学习(part learningand whole learning)在运动学习和记忆学习中,根据对学习内容的处理方式可以分成部分学习和整体学习。部分学习就是将材料分成几个部分,每次学习一个部分:整体学习就是每次学习整个材料。一般来讲,整体学习的效果优于部分学习。但是,课题复杂彼此没有意义联系的材料,用部分学习的效果好:课题简短或具有意义联系的材料,用整体学习的效果好。在进行学习时,可以将部分学习与整体学习结合起来,先进行整体学习再进行部分学习,或者相反。这种相互结合的学习方式叫做综合学习,效果更好些。 (周国帕撰成立夫审)
  
说明:补充资料仅用于学习参考,请勿用于其它任何用途。