performance n. 1.执行,实行,履行;完成;实现;偿还。 2.行为,动作,行动;工作。 3.性能;特性。 4.功绩;成绩。 5.演奏;弹奏;演出;(驯兽等的)表演;把戏。 6.【物理学】演绩。 a performance test 【机械工程】性能试验。 high performance 高度准确,性能优良。 an afternoon performance 午后的演出,日戏。 two performances a day 一天演两场。 a fine [wretched] performance 成绩好[坏]。 put a monkey through its performances 使猴子玩种种把戏。 performance in [of] horse-manship 马戏;马术表演。
Research on relationship between achievement motivation and learning performance of students in grade three of junior school 初三学生成就动机与学业成绩的关系研究
In order to increase firm's learning performance in inic, the author points out that firm, industry association and government all should do some work 为了提高企业在集群创新网络中的学习绩效,本论文从企业、行业协会和政府三个方面分析了他们各自的对策。
Support vector machines ( svm ) are a kind of novel machine learning methods which have become the hotspot of machine learning because of their excellent learning performance 支持向量机(supportvectormachines,简称svm)是vapnik等人提出的一类新型机器学习方法。
It has become the hotspot of machine learning because of their excellent learning performance, and now there are a lot of study on application of svm 为了克服专家系统知识获取的“瓶颈”问题和人工神经网络的推广能力差的问题,基于统计学习理论的支持向量机方法为岩土工程的智能化研究提供了新的途径。
For a firm in an industrial cluster, learning in inic is helpful to improve the firm's innovative performance, which is regarded as the learning performance of a firm 集群创新网络中企业的学习绩效主要体现在对企业创新绩效的贡献上,从企业技术创新活动的特点看,集群创新网络中的学习有助于提高企业的创新绩效。
Because it has quite perfect theoretical properties and good learning performance, svm theory becomes the new research hotspot after the research of artificial nerve net and pushes the development in machine learning theory and technology 正因为svm理论有较为完备的理论基础和较好的学习性能,使得它成为继神经网络研究之后新的研究热点,并将推动机器学习理论和技术有重大的发展。
Moreover, this theory can change the problem in non-linearity space to that in the linearity space in order to reduce the algorithm complexity by using the kernel function idea . svm have become the hotspot of machine learning because of their excellent learning performance 由于采用了结构风险最小化原则代替经验风险最小化原则,使得较好的解决了小样本学习的问题;又由于采用了核函数思想,使它把非线性空间的问题转换到线性空间,降低了算法的复杂度。
The advantages of this learning algorithm are that it can efficiently void over-fitting, solve np-hard problem, and learning process has adaptability . the algorithm has efficient learning performance . dynamic bayesian networks ( dbns ) are a powerful methodology for representing and computing with uncertain problem of stochastic processes 本文提出了一种基于遗传算法和mdl原则的贝叶斯网络结构优化算法(gamdl),优点在于能有效地避免过分拟合,能解决np问题,且学习优化的过程具有自适应性,算法具有较快的学习速度且可得到近似全局最优的结果。
The major findings were : ( 1 ) except the chi square test that was easily influenced by the sample size, the results indicated that the english learning process model fitted the observed data well in preliminary, overall, and internal structure model fit criteria . ( 2 ) the direct effects in the english learning process model were significant regarding their affective reaction with action control, affective reaction with metacognition, action control with metacognition, and metacognition with learning performance; the indirect effects were also significant regarding their affective reaction with metacognition, affective reaction with learning performance, and action control with learning performance 二、国中生英语学习历程模式中,情意反应对行动控制具直接效果;情意反应对后设认知具直接效果;行动控制对后设认知具直接效果;后设认知对学习表现具直接效果;此外,情意反应对后设认知与学习表现具间接效果;而行动控制对学习表现亦具间接效果。