數學標識語言 的英文怎麼說
中文拼音 [shǔxuébiāozhìyǔyán]
數學標識語言
英文
mathematical markulanguage- 數 : 數副詞(屢次) frequently; repeatedly
- 學 : Ⅰ動詞1 (學習) study; learn 2 (模仿) imitate; mimic Ⅱ名詞1 (學問) learning; knowledge 2 (學...
- 標 : Ⅰ名詞1 [書面語] (樹梢) treetop; the tip of a tree2 (枝節或表面) symptom; outside appearance; ...
- 識 : 識Ⅰ動詞[書面語] (記) remember; commit to memory Ⅱ名詞1. [書面語] (記號) mark; sign 2. (姓氏) a surname
- 語 : 語動詞[書面語] (告訴) tell; inform
- 言 : Ⅰ名詞1. (話) speech; word 2. (漢語的一個字) character; word 3. (姓氏) a surname Ⅱ動詞(說) say; talk; speak
- 數學 : mathematics
- 標識 : [物理學] characteristic; identification; identifying標識碼 identification code; 標識位置 home position
- 語言 : language
-
( 5 ) user management system is built by asp technology on the server - side. user ' s register and logging is accepted and the user permission for different group is designed ( program files referred to appendix 1 ) ; the connection between web server and plastic die material database system realized by ado, odbc technology, which will guarantee the mutual information transportation between the database system and different terminals ; ( 6 ) further study of expert system is discussed and the implementing reasoning base on plastics mould material selection neural networks is put forward and key problems is also discussed. according to the requirements of sustainability, extended knowledge frame of mould selection and track algorithm meeting the requirements of dynamics, history, structuralism, illegibility, unintegrity and uncertainty are verified and corresponding examples are also put forward
( 3 )通過ado 、 odbc技術實現web服務器與塑料模具材料數據庫系統的連接,從而保證了塑料模具材料數據庫系統和各終端之間信息的雙向傳遞; ( 4 )在服務器端利用asp技術建立塑料模具材料遠程選擇優化專家系統交互界面,通過標準數據庫查詢語言,客戶能對數據庫中的塑料模具材料信息進行查詢(程序文件列表參見附錄1 ) ;廣東丁業人學1學m學位淪義門)在服務器端利用sp技術建立用戶管理系統,接受用戶的注冊、登錄消求,為不同等級的用戶設定相應的權限(程序文件列表參見附錄1 ) ; ( 6 )討論了進一步完善該專家系統所需做的工作,提出塑料模具選材神經網路批理的實現方案,並對其中的關鍵問題進行了討論:按照可持續發展的要求,對擴展的模具選材知識框架、滿足動忐性、歷史性、結構性、模糊性、個大根性、不硯定性等需求的跟蹤演算法進行了論證並給出計算示例。The extractors can extract specific data for some data mining algorithms. so, it can avoid of same queries to the database, and improve data mining efficiencies. 2
該模型利用標準的sql語言構造數據抽取器,為不同的學習演算法準備數據,可以加快知識發現過程,提高數據挖掘效率。A frame representation was chosen to express the knowledge of carqs, and c + + was used to define the data structure. aiming at the design objective of system, rote learning was chosen to improve the performance. chapter four discussed how the dijkstra ' s arithmetic was ameliorated
在分別對知識表示、機器學習研究探討的基礎上,經過對多種知識表示方法進行分析、比較,最終確定利用框架表示法表示carqs中的知識,用c + +語言對數據結構進行了定義,並針對系統設計目標,選擇機械學習作為性能改進途徑。That is, production process of the human - machine system was perfected, and high efficiency and economic object was realized through research about present stuff flow, plane layout of workplace, human - machine operation program, action analysis, staff configuration and task measurement. secondly, the human - machine system, which was made up of operator and ipc, was designed and its technical system was researched and developed. crt ' s human - machine information management system was designed using language visual foxpro 6. 0
本文從人機工程學角度出發,深入分析了人機系統理論知識及其設計模型,首先進行了加工中心人機系統作業分析及改善,即通過對現有的物料型流程程序、車間平面布置、人機操作程序、動作分析、人員配置及作業測定的調研,完善此人機系統生產過程,實現了此人機系統的高效、經濟目標;其次進行了人和工控機組成的人機系統分析設計,並對此系統中的技術系統( crt顯示界面)進行了研究與開發,利用面向對象技術的關系型數據庫語言visualfoxpro6 . 0設計了crt人機信息管理系統。Web mining aims at mining useful knowledge and based on data mining, text mining and multimedia. it integrates the computer network, database and data warehouse, artificial intelligence, information retrieve, visualization, natural language processing and other technologies. web mining is a novel subject which is a combination of conventional data mining technology and web
Web挖掘是以從web上挖掘有用知識為目標,以數據挖掘、文本挖掘、多媒體挖掘為基礎,綜合運用計算機網路、數據庫與數據倉庫、人工智慧、信息檢索、可視化、自然語言處理等技術,將傳統的數據挖掘技術與web結合起來的一門新興學科。分享友人