目的全面分析形状文法在国内外设计学领域文献中的应用现状及全局特征,从而为研究与设计实践提供有益参考。方法针对形状文法在设计领域的应用,综合采用了CiteSpace和VOSviewer两款文献信息可视化工具,对知网(CNKI)及Web of Science(WOS...目的全面分析形状文法在国内外设计学领域文献中的应用现状及全局特征,从而为研究与设计实践提供有益参考。方法针对形状文法在设计领域的应用,综合采用了CiteSpace和VOSviewer两款文献信息可视化工具,对知网(CNKI)及Web of Science(WOS)数据库中的相关文献记录进行了知识图谱分析。结论结果表明检索范围内国际发文量波动较大有回落趋势,国内发文量稳步增长。在研究热点方面,国际学术界主要聚焦于计算机辅助设计与生成设计、建筑设计与结构优化、设计理论与跨学科应用、产品设计与商业设计等领域。相比之下,国内学界的重点则集中于工业设计与纹样设计、产品设计与形态推演、家具设计与包装设计、文创设计与创新设计。国际研究在建筑设计应用和新技术融合方面表现出更高的关注度,而国内研究则更注重于传统文化元素的现代转译和产品应用方面的创新。最后基于分析结果,对我国形状文法在设计领域的发展方向提出展望。展开更多
The discussions about cognition psychology in the field of second language acquisition(SLA) exert great influence on language teaching practice and theoretical research.Interface positions on the role of explicit and ...The discussions about cognition psychology in the field of second language acquisition(SLA) exert great influence on language teaching practice and theoretical research.Interface positions on the role of explicit and implicit knowledge in SLA have led to further exploration by different researchers.This paper,on the basis of previous studies,makes a brief review of the relation ship between implicit and explicit knowledge,focusing on the analysis of interface position and its role in grammar teaching and learning.展开更多
Securities fraud is a common worldwide problem, resulting in serious negative consequences to securities market each year. Securities Regulatory Commission from various countries has also attached great importance to ...Securities fraud is a common worldwide problem, resulting in serious negative consequences to securities market each year. Securities Regulatory Commission from various countries has also attached great importance to the detection and prevention of securities fraud activities. Securities fraud is also increasing due to the rapid expansion of securities market in China. In accomplishing the task of securities fraud detection, China Securities Regulatory Commission (CSRC) could be facilitated in their work by using a number of data mining techniques. In this paper, we investigate the usefulness of Logistic regression model, Neural Networks (NNs), Sequential minimal optimization (SMO), Radial Basis Function (RBF) networks, Bayesian networks and Grammar Based Genet- ic Programming (GBGP) in the classification of the real, large and latest China Corporate Securities Fraud (CCSF) database. The six data mining techniques are compared in terms of their performances. As a result, we found GBGP outperforms others. This paper describes the GBGP in detail in solving the CCSF problem. In addition, the Synthetic Minority Over-sampling Technique (SMOTE) is applied to generate synthetic minority class examples for the imbalanced CCSF dataset.展开更多
文摘目的全面分析形状文法在国内外设计学领域文献中的应用现状及全局特征,从而为研究与设计实践提供有益参考。方法针对形状文法在设计领域的应用,综合采用了CiteSpace和VOSviewer两款文献信息可视化工具,对知网(CNKI)及Web of Science(WOS)数据库中的相关文献记录进行了知识图谱分析。结论结果表明检索范围内国际发文量波动较大有回落趋势,国内发文量稳步增长。在研究热点方面,国际学术界主要聚焦于计算机辅助设计与生成设计、建筑设计与结构优化、设计理论与跨学科应用、产品设计与商业设计等领域。相比之下,国内学界的重点则集中于工业设计与纹样设计、产品设计与形态推演、家具设计与包装设计、文创设计与创新设计。国际研究在建筑设计应用和新技术融合方面表现出更高的关注度,而国内研究则更注重于传统文化元素的现代转译和产品应用方面的创新。最后基于分析结果,对我国形状文法在设计领域的发展方向提出展望。
文摘The discussions about cognition psychology in the field of second language acquisition(SLA) exert great influence on language teaching practice and theoretical research.Interface positions on the role of explicit and implicit knowledge in SLA have led to further exploration by different researchers.This paper,on the basis of previous studies,makes a brief review of the relation ship between implicit and explicit knowledge,focusing on the analysis of interface position and its role in grammar teaching and learning.
文摘Securities fraud is a common worldwide problem, resulting in serious negative consequences to securities market each year. Securities Regulatory Commission from various countries has also attached great importance to the detection and prevention of securities fraud activities. Securities fraud is also increasing due to the rapid expansion of securities market in China. In accomplishing the task of securities fraud detection, China Securities Regulatory Commission (CSRC) could be facilitated in their work by using a number of data mining techniques. In this paper, we investigate the usefulness of Logistic regression model, Neural Networks (NNs), Sequential minimal optimization (SMO), Radial Basis Function (RBF) networks, Bayesian networks and Grammar Based Genet- ic Programming (GBGP) in the classification of the real, large and latest China Corporate Securities Fraud (CCSF) database. The six data mining techniques are compared in terms of their performances. As a result, we found GBGP outperforms others. This paper describes the GBGP in detail in solving the CCSF problem. In addition, the Synthetic Minority Over-sampling Technique (SMOTE) is applied to generate synthetic minority class examples for the imbalanced CCSF dataset.
