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自学习方法
相关语句
  self-learning method
     Study on Self-learning Method of“Artificial Fish”
     “人工鱼”自学习方法研究
短句来源
     A Study of Computer Self-Learning Method for the Data Base in Fault Diagnosis System of a Rotating Machinery
     旋转机械故障诊断系统数据库的机器自学习方法
短句来源
     A Self-Learning Method of Intelligent Control
     智能控制的自学习方法
短句来源
     A Study of Computer Self-Learning Method for the Membership Function Coefficient in Fuzzy Diagnosis
     模糊诊断隶属度函数系数的机器自学习方法
短句来源
     A Machine Self-Learning Method for the Membership Function in Machinery Fault Diagnosis System and Its Application
     机械故障模糊诊断系统隶属度函数的机器自学习方法及其应用
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  “自学习方法”译为未确定词的双语例句
     The geometrical learning model and its related two methods are presentedin this paper.
     本文提出一种几何知识的自学习模型以及在该模型之上的自学习方法:编辑与判断。
短句来源
     ITERATIVE LEARNING CONTROL OF SEAMLESS PIPE AVERAGE WALL THICKNESS IN STRETCH REDUCING PROCESS
     无缝钢管张减过程平均壁厚控制迭代自学习方法
短句来源
     A machine self-learning approach is being come into use for the machinery fault diagnosis sys-
     本文将机器自学习方法应用于机械故障诊断系统,并利用计算机自适应的最小二乘优化方法实现了模糊诊断系统隶属度函数的机器自学习功能。
短句来源
     A SELF-LEARNING APPROACH TO ENVIRONMENT KNOWLEDGE
     一个环境知识的自学习方法
短句来源
     In this paper methods of fuzzy reasoning and network self-studying are applied for breakdown diagnosis of electronic control system of diesel.
     将模糊规则的推理方法和神经网络的自学习方法应用在柴油机电控系统的故障诊断上。
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  相似匹配句对
     Self-study.
     学习
短句来源
     How to Implement Self-learning Technique
     学习技术的实现方法
短句来源
     A Self-Learning Method of Intelligent Control
     智能控制的学习方法
短句来源
     A SELF-LEARNING APPROACH TO ENVIRONMENT KNOWLEDGE
     一个环境知识的学习方法
短句来源
     A Parametric Design Method Based on Self-learning
     基于学习的参数化设计方法
短句来源
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Most of the adaptive control approaches of robots are now based on the linearized dynamical models of therobots. They use some identification algorithms in order to estimate the parameters of the models explicitly orimplicitly and correct the control laws on line. In the paper, a learning-adaptive control method that is differentfrom the approaches above is presented in accordance with the inherent attributes of the movement of robotsthemselves and the variation of their dynamics parameters.a two-levels structure...

Most of the adaptive control approaches of robots are now based on the linearized dynamical models of therobots. They use some identification algorithms in order to estimate the parameters of the models explicitly orimplicitly and correct the control laws on line. In the paper, a learning-adaptive control method that is differentfrom the approaches above is presented in accordance with the inherent attributes of the movement of robotsthemselves and the variation of their dynamics parameters.a two-levels structure in the hierarchical control systemof intelligent robots is the basis of the method presented and the parameters variation of the robots is treated in thespacial domain not in the time one. The robot working space is divided several sub-spaces that contain the effectof gravity load and to every sub-space there correspond a set of controls. The robot path planed in the high levelof the two-levels structure mapping onto the working space, a sequence of sub-spaces is formed into and then acorrelative sequence of the optimal controls is picked out by means of a learning algorithm.

现有的机器人自适应控制基本上都是在建立机器人线性化的动力学模型的基础上,采用某种显式或隐式参数辨识的方法,在线地修正控制作用.本文针对机器人运动和动力学参数变化的固有特点,提出一种完全不同的自学习自适应方法.这种方法基于智能机器人分级系统中的两级结构,并且在空间域里而不是在时间域里处理机器人参数的变化.把机器人的作业空间划分成子空间,其中包括重力载荷的作用,每个子空间对应一组控制器.规划的轨迹映射到作业空间形成子空间序列.用自学习方法选择与这个序列对应的最佳控制器序列.该方法算法简单,计算量小.避开了通常的自适应方法遇到的一系列困难问题.

The geometrical learning model and its related two methods are presentedin this paper.Knowledge compilation is concerned with the model transform from adeclarative characterization of the domain to a set of operators to perform a specifictask.Then it introduces how to judge which characters of the problem would dominatethe problem solution.

本文提出一种几何知识的自学习模型以及在该模型之上的自学习方法:编辑与判断。前者是关于如何把陈述性描述转化成一组执行某个特殊任务的过程性操作;后者是关于如何判断问题的哪些特征对解该问题起决定作用。

The application of the fuzzy cluster method to classify a crude oil in ac-cordance with its six property items and the accumulated evaluation data ofother crude oils is discussed.The refining scheme for the crude oil in questioncan be decided on the basis of the properties and distillate yield distributionof the most closely clustered crude oil.Thus the problem that detailed crudeoil evaluation works usually lagging behind the actual refining Call be overco-me.This method is useful to promptly guide the optimal...

The application of the fuzzy cluster method to classify a crude oil in ac-cordance with its six property items and the accumulated evaluation data ofother crude oils is discussed.The refining scheme for the crude oil in questioncan be decided on the basis of the properties and distillate yield distributionof the most closely clustered crude oil.Thus the problem that detailed crudeoil evaluation works usually lagging behind the actual refining Call be overco-me.This method is useful to promptly guide the optimal production,producttreatment,equipment maintenance,etc.of the refinery.

运用模糊聚类分析,对待加工原油先测定易测的6项性质指标,把它与过去积累的原油评价数据进行归类处理,将待加工原油归属最接近的原油特性及蒸馏收率分布,作为加工方案确定的依据;克服了以往评价原油的化验工作滞后于加工的现象,利用已开发的原油评价的自学习方法;及时为优化生产、精制产品和防护设备等方面起指导作用。

 
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