knowledge engineer造句
例句与造句
- Kbs is developed using knowledge engineering ( ke ) techniques
Kbs的开发使用知识工程技术。 - Research and spplication of ug based on knowledge engineering
一种指纹验证装置的研究与应用 - Ontology researches in knowledge engineering
知识工程中的本体论研究 - A kbs is developed using knowledge engineering ( ke ) techniques
Kbs的开发使用知识工程技术。 - Project name research and study of applying knowledge engineering technology in software engineering
计画名称：知识工程技术在软体工程上之研究设计 - It's difficult to find knowledge engineer in a sentence. 用knowledge engineer造句挺难的
- The modeling of ontology - based knowledge base system is one of the research hot spots in knowledge engineering
基于ontology知识库系统的建模，是目前知识工程界研究的热点。 - Feigenbaum , e . a . , the art of artificial intelligence , themes and case studies in knowledge engineering , ijcai 5 , 1014 ? 1029
陆汝钤（主编）世纪之交的知识工程与知识科学，清华大学出版社， 2001 。 - International journal of software engineering and knowledge engineering , 2003 , 13 : 53 - 82 . 21 zhi jin , ruqian lu , david a bell
文中给出了三种知件的例子，特别是介绍了在信息系统工程中采用知件的方案。 - Since 1990s , ontology has been introduced in artificial intelligence , knowledge engineering and library & information sciences
20世纪90年代,人们将本体概念引入人工智能、知识工程和图书情报等领域。 - Data and knowledge engineering , 2000 , 34 : 21 - 38 . 8 li j z , gao h . hierarchical data cube for range queries anddynamic updates
研究海量数据上的区域查询与数据更新就成为海量数据仓库面临的一个挑战性问题。 - Knowledge expression is an important researching content of knowledge engineering and a foundation for carrying out knowledge deduction
摘要知识表示是知识工程的一个重要研究内容，是进行知识演绎的基础。 - The expert knowledge is gathered by knowledge engineers from human experts in the field such as medicine , engineering , or geology
这些专家知识是知识工程师从相应的医学、工程、地理等领域的人类专家那儿收集得到的。 - Since fuzzy neural networks have several features that make them well suit to wide range of knowledge engineering applications
由于模糊神经网络自身所具有的许多特点使它能够处理在工程应用中所能遇到的大量不确切信息。 - Knowledge engineering stems from e . a . figenbaum s proposal in 1977 , but it will enter a new decade with the new challenges
其标志为处理对象主要是非规范知识以及处理规模和方式为海量和开放式，典型例子为万维网知识处理。 - Students can also explore the latest advances in multi - lingual speech processing , artificial intelligence , data - mining and knowledge engineering
此外，学生亦接触多语言之语音处理、人工智能、数据开采及知识工程的最新发展。
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