查询词典 Revival of Learning

E-Learning becomes more important to companies, government and common people due to the development in information technology. They use e-Learning not only for training employees but also for acquiring common knowledge. However, planless development in e-Learning introduces some problems. For example, in public sectors, there are many similar platforms and courses, which makes part of investment become a waste and unnecessary.

数位学习随著资讯科技的发展及普及渐渐受到政府及产业的重视，不管是企业内部的教育训练、一般民众或是公务员的再进修，采用数位学习的比例都不断提高，然而，没有经过整体规划的发展却会带来一些问题，像是企业可能必须面对内部多个分散的数位学习资源，台湾的公部门数位学习网站也因为没有经过整体规划造成各单位独自发展，产生许多重复的课程以及目标、功能类似的平台，造成资源浪费。

Based on the individual learning, organizational learning is the necessary way for organization to enhance the organizational cognitive capacity. In the process of organizational learning, the mental model, which is inherently the tacit knowledge, is primly object to be improved.

如果说上述的对企业的特征与行为进行解释与预期所涉及的是企业理论的经济学方面的内容的话，那么分析企业知识活动的微观机理所关注的则是企业理论的管理学方面的涵义。

Objective To use an ischemical reperfusion injury rat model by pulsinelli-4-VO andobserve the changes of the expression of Glu, N-methy-D-asparagic acidreceptor subunits NR_1 and NR_(2B) and ability of learning and memory after procerebrum ischemic reperfusion injury, and approach the pathogenesy of learning andmemory disorder induced by ischemic reperfusion injury, and the intervention ofginsenoside Rg_2 on the learning and memory disorder after procerebrumischemic reperfusion injury.

目的利用pulsinelli四血管法体建立脑缺血／再灌注损伤模型，观察前脑缺血损伤后谷氨酸、N-甲基-D-天门冬氨酸受体亚单位NR_1、NR_(2B)表达的变化及学习记忆的改变，从兴奋性氨基酸的兴奋毒作用尤其是其受体的表达方面探讨脑缺血／再灌注损伤引起的学习记忆功能障碍的发生机制，并观察人参皂苷Rg_2对脑缺血缺氧损伤引起的学习记忆障碍的干预机制。

Teacher inspire pupillary learning interest and motivation, by offering learning goal which has correlative datum to the learning content.

表现在对语文学法指导的扩展与提升，对研究性学习思想理念、习惯意识等的注入和融合。

Possible factors of affecting on learning addition and substraction computation were impression of mathematics and the learning motivation in personal aspect, teaching ways and learning the concepts of addition and subtraction in school aspect, single parent families, grandparents' teaching, resources of the community, parents' expectation and disciplinary attitude, parents' level of education and status of social economy in living aspect.

学童对数学的学习兴趣与动机乃是影响学童学习表现的个人心理因素，而教师的教学方式、学童学习概念的成果则是学习资源影响学童学习表现的因素，再者，族群天性、单亲家庭及隔代教养问题、社区资源、家长对学童的期望与管教、家长的教育程度与社经地位等，都是生活环境影响学童学习表现的因素。

Theoretical analysis and experimental results both show:(1) incremental learning can adapt the classifier to new obtained samples much faster than repetitive learning without losing any precision;(2) the SVM-based incremental learning algorithm of Syed et al.

对涉及到的3个方面进行了理论和实验上分析和对比：重复学习和增量学习；Syed等提出的和Xiao等提出的两种不同的基于SVM增量学习方法；&一对一&和&一对多&两种不同的多值分类构造方法。

A merge-split algorithm based on study property of neural net and sum aggregate is presented. Its merit is that its merge is disconnected a little and freedom satisfies the adaptability, and it is realized during learning rather than stipulating in advance. Furthermore, the method of fitting edge of uncontinuous image with neural net is given. The method can carry on the fit at self-learning, using its learning function fully under the circumstances without the mathematical function form of edge.

提出了一种基于神经网络学习特性和集合论的边缘分段算法(Merge-Split)，优点在于它的分段间断点、自由度满足自适应性，能在学习过程中实现而不必事先规定；进一步提出神经网络拟合不连续的图像边缘的方法，在无边缘数学函数形式的情况下，充分利用其学习函数的任意逼近和自学习性进行拟合，实践证明该方法可以克服以往边缘拟合方法的不足。

In the 1990s, a more complete theoretical system - the achievement of statistical learning theory and neural networks, and other than because of the emerging machine learning methods of the difficulties encountered some important, such as how to determine the issue of network structure, overfitting and underfitting, the local minimum points ect, makes the rapid development and improvement of SVM in resolving the small sample, non-linear and high-dimensional pattern recognition problems in the performance of many unique advantages and can function to promote the use of fitted function and other machines learning problems.

上世纪90年代，一个较完善的理论体系--统计学习理论( Statistical Learning Theory，简称SLT)的实现和由于神经网络等较新兴的机器学习方法的研究遇到一些重要的困难，比如如何确定网络结构的问题、过学习与欠学习问题、局部极小点问题等，使得SVM迅速发展和完善，在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中。

The direct network controller with feedback and multi— network inverse—model learning controller are proposed to improve the ability to reject the disturbance and to solve the learning difficulties of the network controller of the unmodelled system. Furthermore the learning and adapative ability of this control system are strenthened.

全面分析了各种网络控制结构和学习方法，提出了带反馈的直接网络控制器和多网络逆模型学习控制方法，提高了网络控制器的抗扰能力，解决了被控对象模型未知条件下的网络控制器的学习问题，从而增强了整个控制系统的学习和应变能力。

The recursive least-squares estimation method is used to estimate the parameters in the modelled part of the robot dynamics, and the parameters is used to form the feedback control based upon the so-called"inverse system method". The unmodelled part of the robot dynamics is compensated by a learning control law. This not only increases the learning convergence speed and the control system robustness, but also extends the control method to non-repetitive tasks after sufficient learning.

采用递推最小二乘辩识方法来辩识机器人动力学特性中可建模部分的模型参数，并以此来构成反馈控制策略，而对未建模动特性和未知扰动的影响采用学习控制的方法予以克服，从而提高了学习控制过程的收敛速度和鲁棒性，拓宽了它的适用范围。

More direct, directer ; most direct, directest

径直的，笔直的

Do you know how to use a chain saw?

你知道如何使用链锯吗？