As an effect tool of pattern recognition and data processing, rough set theory (RST) and support vector machine (SVM) have become the focus of research in machine learning.
粗糙集理论(rst)与支持向量机(SVM)作为模式识别，数据处理的有效工具，已成为机器学习的研究热点。
Knowledge into two categories, including declarative and procedural knowledge, according to contemporary learning theory of information processing.
当代信息加工学习理论把人类的知识分成两类：陈述性知识和程序性知识。
The learning theory about information processing has become the mainstream in study of learning psychology.
信息加工的学习理论已成为研究学习心理学的主流。
The study is based on the theory of information processing and the theory of student-centered learning.
本研究以信息加工理论和以学习者为中心的学习理论为基础。
The literature review covers Constructivism and Discovery Learning in the field of learning theory and Noticing theory and Depth of Processing in the field of cognitive psychology and that of SLA.
文献综述中的理论支持包括建构主义和发现式学习理论，还包括认知语言学中的留意假说和信息深度处理学说。
Being as a modeling theory, the Artificial Neural Network (ANN) has been widely used with a lot of special advantages, such as, performance of distribution processing and self-learning.
作为一种建模理论，神经网络具有分布式、自学习等其它方法所不具备的人工智能优势。
It will be beneficial to the consolidation of the theory knowledge, beneficial to the intensification of learning interest in mathematics, beneficial to the increase of the processing ability of med…
学生普遍反映实验教学效果良好，有利于巩固理论知识学习，有利于增强学习数学的兴趣，有利于提高医药数据的统计处理能力，希望以后能适当增加一些实验课时。
This paper dwells on the necessity and limitations of incidental learning of L2 vocabulary based on the theory of depths of processing proposed by Craik and Lockhart.
本文以认知加工层次理论为理论框架，对二语词汇伴随性学习的必要性和局限性进行了详尽的阐述。
This paper makes an elaboration about the necessity of indirect learning of L2 vocabulary based on the theory of depths of processing proposed by Craik and Lockhart.
词汇附带习得的投入量理论和认知层次加工理论对有效的词汇学习提出了心理和认知的具体要求。
This paper makes an elaboration about the necessity of indirect learning of L2 vocabulary based on the theory of depths of processing proposed by Craik and Lockhart.
词汇附带习得的投入量理论和认知层次加工理论对有效的词汇学习提出了心理和认知的具体要求。
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