文章介绍了“基于研究的学习”模式，分析了模式的构成以及在研究型大学开展基于研究下学习的合理性和可行性。
The thesis introduces the development research-based learning mode and analyzes its constitution and the feasibility that research universities actualize the research-based learning mode.
不过，这一基于任务的语言学习需要研究者设计系统时做出一些调整。
But the idea — known as task-based language learning — required a few changes as the researchers were designing the system.
他表示，这项研究揭示了基于大脑学习方式的更好的教学方法。
He says research has shown better ways to teach based on evidence about how the brain learns.
对基于自学习功能的计算机辅助医学诊断专家系统的应用进行研究。
To research on the application of computer-aided diagnosis expert system based on machine adaptive learning.
基于此，本文从分析国内外知识创造模型研究出发，探讨了基于组织学习的知识创造模型。
It starts from analyzing the study on the model of knowledge creation at home and abroad, and explores the model of knowledge creation based on organizational learning.
本文主要研究目前较为流行的基于统计学习理论的分类方法——支持向量机方法(SVM)，以及小波变换提取特征的方法，将其用于人脸检测。
This paper mainly make research on classify methods based on statistical theory, support vector machine (SVM), and feature extraction method-wavelet transform, and using them in human face detection.
本论文围绕基于语料库的词汇自主学习展开，通过实验研究了将语料库运用于词汇学习的几个方面。
On the basis of a case study, the aspects in which corpus can be applied in lexical learning were investigated and illustrated.
本文经过大量研究，提出了一种基于学习的自然场景中文本提取算法。
After many researches, the thesis represents a novel algorithm to extract text from natural scenes, which is based on machine learning.
本文通过案例研究探讨了一种基于网络的协作学习和应用模式。
This paper studies a practice module of the based-web CL by cases studying.
到目前为止，一些启发式算法被提出用于基于扩张矩阵理论的示例学习研究。
Up to now, some heuristic algorithms have been proposed for learning from examples based on extension matrix theory.
基于Q强化学习与CMAC神经网络的移动机器人局部路径规划研究。
Research on local path planning of mobile robot based on Q reinforcement learning and CMAC neural networks.
论文主要研究了基于平均型强化学习算法的动态调度方法。
The thesis mainly focuses on the dynamic scheduling method based on the averaged rewards reinforcement learning algorithms.
此外，根据研究目标文章还详细设计了知识管理系统中的知识分类系统、基于活动理论的虚拟学习社区。
Besides, the dissertation also detailedly design the knowledge taxon system in knowledge management system and virtual learning community based on activity theory.
除了上述基于学习的字符识别方法外，我们还对可变形模板字符识别技术进行了研究。
In addition to the recognition method based on machine learning, we researched the character recognition method base on deformable templates too.
然而，目前国内外对这一课题的研究还不尽人意，特别是国内还缺少对基于因特网的网络学习行为的全面、系统、细致的研究。
However, the domestic and international study on this subject is still less than satisfactory at present, especially still lack systematically, carefully research on E-learning behavior at home.
结合恒力磨削的研究，提出了一种基于磨削数据的模糊控制规则学习方法。
Combined with the study of constant force grinding, a self-study method on fuzzy control rules in grinding process is suggested.
基于支持向量机的直推式学习是统计学习理论中一个较新的研究领域。
Transductive inference based on support vector machine is a relatively new research region in statistical learning theory.
研究了基于所建模型的联想式模式学习算法。该算法模型体现了结构自组织、神经回路反响谐振等生理学特征。
Based on the established model, some associative pattern learning algorithms were put forward, which had the physiological features of structure's self-organizing and neural circuits' reverberating.
基于统计学理论研究了经验风险最小化原则学习过程的一致性问题。
We describe the consistency of erm learning process instatistical learning theory .
为了系统地考察这其中的相互作用关系，进而提出本文论题：基于复杂网络的研究性学习群体学习关系分析。
And to explore the interactive relationship of it systematically, it therefore discusses the inquiry learning based on complex network as the thesis of this article.
研究人工分类、机器学习分类的结合方法，提出基于“分类-使用-调整”逐步求精的分类方法。
Studying the combination of manual and machine learning classification, an classification approach for improving the precision based on "classification-use-adjustment is proposed".
2000年人们开始进行移动学习的研究，到2006年基于手机的移动学习则从学术研究阶段迅速走进实际应用阶段。
The research on Mobile-learning started from the year 2000. Until 2006, the research on Mobile-learning based on mobile phone promptly shifts from academic phase to applied phase.
本文研究了一种支持向量机(SVM)和基于转换的错误驱动学习相结合的汉语组块识别方法。
The paper presents a method of Chinese chunk recognition based on Support Vector Machines (SVM) and transformation-based error-driven learning.
总而言之，研究中的中国英语学习者目标语使用基于的内部语境知识在极大程度上是不完善的。
Overall, the internal contextual knowledge of the Chinese EFL learners in the use of the target language was for the most part defective.
以小麦群体绿色面积和绿色叶面积指标信息的获取为例，研究了基于图像信息构建自学习BP神经网络识别模型的技术。
A recognition system based on self learning BP neural network for feature data of wheat population images, such as total green areas and leaves areas was designed in this paper.
通过对自评过程中组织学习特点的研究，建立了基于组织学习的动态自评模型，并对动态模型的结构进行了分析。
This paper constructs a dynamic model based on organizational learning by studying the characteristics of learning in self-assessment, and analyzes the structure of the dynamic model.
论述研究性学习的内涵、实施要求，探讨基于网络环境下开展研究性学习的优势和特点。
The meaning and request for implementing of research learning are summarized, and the predominance and characteristic of network-based research learning are discussed.
论述研究性学习的内涵、实施要求，探讨基于网络环境下开展研究性学习的优势和特点。
The meaning and request for implementing of research learning are summarized, and the predominance and characteristic of network-based research learning are discussed.
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