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人文地理学的跨学科互动:“文化景观”与“文学景观” 被引量:2
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作者 王金黄 丁萌 《南华大学学报(社会科学版)》 2019年第1期27-33,共7页
"文化景观"是人文地理学的关键词,发轫于"景观",经历了"景观"向"文化景观"的嬗变,其总体涵义指彰显文化属性的实体景观。"文化景观"的指涉范围包括自然界与人类社会,成为跨学科联系... "文化景观"是人文地理学的关键词,发轫于"景观",经历了"景观"向"文化景观"的嬗变,其总体涵义指彰显文化属性的实体景观。"文化景观"的指涉范围包括自然界与人类社会,成为跨学科联系的高频词汇,如与文学地理学所建立起的跨学科互动。这种互动总体表现为两个方面,其一为人文地理学关键词"文化景观",与文学地理学关键词"文学景观"之间相联又相离的关系;其二为"文化景观"自身包含的人文地理学科方法论,与文学地理学学科研究方法论之间,形成了互视、借鉴的有机模式。跨学科互动的双向审视,既修补了文化景观研究中偏离本体研究的不足,也成为检验文学地理学的学术话语权及现实功用的一次尝试。 展开更多
关键词 文化景观 文学景观 文学地理学 学科 学科互视
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Theoretical Research on Novel Data Mining Algorithm based on Fuzzy Clustering Theory and Deep Neural Network
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作者 Ye Li 《International Journal of Technology Management》 2015年第7期109-111,共3页
With the progress of computer technology, data mining has become a hot research area in the computer science community. In this paper, we undertake theoretical research on the novel data mining algorithm based on fuzz... With the progress of computer technology, data mining has become a hot research area in the computer science community. In this paper, we undertake theoretical research on the novel data mining algorithm based on fuzzy clustering theory and deep neural network. The focus of data mining in seeking the visualization methods in the process of data mining, knowledge discovery process can be users to understand, to facilitate human-computer interaction in knowledge discovery process. Inspired by the brain structure layers, neural network researchers have been trying to multilayer neural network research. The experiment result shows that out algorithm is effective and robust. 展开更多
关键词 Fuzzy Clustering Data Mining Deep Neural Network Machine Learning.
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