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学习法

"学习法"的翻译和解释

例句与用法

  • In accordance with education policy and social education act , as well as regulations concerning life - long education , the office is dedicated to the promotion of social education . the responsibilities of each section are delineated as follows
    本处为依照教育部教育政策及社会教育法,终身学习法等有关法令规定,积极推展社会教育业务,兹将本处所属各组室之服务事项介绍如下:
  • This pragmatic article demonstrates , in a step - by - step fashion , how energetic instructors can wean their students from a teacher - centered class with a focus upon a textbook , toward a more motivational and holistic student - centered method of learning and language use that takes advantage of the strengths of each individual
    本文发现透过教师认真的教学,可逐渐使学生摆脱传统以来以教师为中心之教学法,改采学习动机高与全语型的学生为中心的学习法,充份发挥学生各别的优点。
  • Mixed - code - way is essentially a matter of mixing sentences and words of chinese in english text in the initial part of the course ( beginner level ) and of gradually increasing the chinese components until the texts are entirely in chinese components in the latter part of the course ( intermediate and advanced levels )
    混合学习法就是指在课程的初始阶段(初级)将中文和英文句子混合使用然后逐步增加中文内容直到所有的课文内容全部都是中文(中高级) 。通过观看flash电影,做网上互动练习,您可以在学到较高级别时在现实环境中用中文交流。
  • Using framework inference and researching strategy of prior part , 1 build inference engine of expert system of motor fault diagnosis . utilizing feature analogy learning method , complete mechanism of instance learning of expert system . while the system records process of diagnosis and route of researching , realize explaining control strategy by report
    利用框架推理,以局部符合的深度优先搜索构建电机故障诊断专家系统的推理机,利用属性类比学习法实现专家系统事例学习机制。采用记录诊断过程,和搜索路线通过报表实现解释机制。
  • Finally , the paper has designed the program of bp neural networks , neural networks based genetic algorithms and hybrid intelligence learning algorithms in vc + + , and applied those algorithms to the xor problem , the function approximating problem and the explaining high difference seismic data problem . the experiment results have showed that hybrid intelligence learning algorithm for training neural networks is better , faster and more accurate than bp algorithm and genetic algorithm
    最后,用vc + +语言设计了bp神经网络、基于遗传算法的神经网络和混合智能学习法神经网络实现和进行计算机仿真运行程序,并分别将它们应用于解决异或、函数拟合和高分辨率地震资料解释等问题,从实践中证明混合智能学习法神经网络与bp神经网络和基于遗传算法的神经网络相比有更好的运算性能、更快的收敛速度和更高的精度。
  • Thirdly , considering the characters of bp neural networks which is good at local minimum and bad in global optimization and the feature of ga neural networks which is bad in local minimum and good at global optimization , the paper proposes a new algorithm combined ga with bp , referred as to hybrid intelligence learning algorithm , which is applied to the problem optimizing the connection weight of the feedforward neural networks
    第三,针对bp神经网络局部搜索能力强、全局搜索能力差和基于遗传算法的神经网络全局搜索能力强、局部搜索能力差的特点,本文提出了一种集bp算法和遗传算法优点为一体的混合智能学习法,并将其应用到优化多层前馈型神经网络连接权问题。
  • This paper first objectively analyzes the features of teaching - oriented university and points out the necessity and urgency to carry out autonomous learning in teaching - oriented universities , but there are still some problems , which include neglect of the teacher ' s leading role and autonomy , overlooking individuality of the students , lopsided dependence on multimedia teaching method , in view of these problems , the author put forward some strategies for reference , such as cooperative learning and interactive learning
    摘要目前在教学型大学中提倡自主学习具有必要性和紧迫性,但在培养学习者自主性方面,依然存在不少问题,针对这些问题,作者提出了在注重个体差异的基础上推行合作学习法、对学生的学习策略及时评估、探索人机结合的多媒体教学模式等建议。
  • Actually context teaching whose main doctrine is to train the students ' langue competences in chinese teaching communications must obey and use the context principles ( including contents of context teaching , context learning ways , context teaching methods and context assessments ) to direct teachers ' teaching and students ' learning
    语境教学观实际是指作为以培养学生言语能力为宗旨的语文教学交际活动,必须遵循和运用语境理论指导教师的教和学生的学的教学观念,包括语境教学内容、语境学习法和语境教学法、语境评价法等方面外延。
  • First is the integration of back propagation , clustering and decision tree technology in a seamless hole . second is the improvement of three - layer architecture . and weights are detailed to the connection between different feature - value pairs and cases instead of to the connection between features and cases
    一是在同一模型中融合了后向传播算法、聚类技术、决策树技术;二是把实例的三层结构进行了改进,并把实例与属性之间的连接权重细化到实例与属性取值间的联接权重;三是在后向传播算法中引入差分hebb学习法,并在计算过程中充分考虑了历史数据的影响。
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