expert systems building 中文意思是什麼
expert systems building
解釋
專家系統構建-
Supported by the gis technology, the research field of the mineral resources assessment and metallogenic prognosis is tending to develop expert systems of mineral deposit model by dealing with the temporal and spatial distribution of mineral resources and building quantitative models of multiple metallogenic information
以gis為主要支撐技術，分析礦產資源的空間分佈，研究多元成礦信息定量模型，發展礦床模型專家系統成為礦產資源評價及預測的基本趨勢。 -
Our municipal sector division provides expert e & m operations and maintenance for electrical, electronic, mechanical and building service systems for the leisure & cultural services department and their diverse range of cultural, recreational and civic facilities in hong kong
市政工程部主要為康樂及文化事務署、其轄下分佈全港的文化、康樂及文娛設施的機電、電子及屋宇裝備系統提供操作及維修服務。 -
This thesis contributes in the following aspects : building an its system model called nki - tutor. the conventional systems contain 5 aspects : student model, pedagogical module, domain knowledge, communication module and expert model. however, the system ought to offer some simulation tools to help users to realize the procedural knowledge and strategic knowledge in the interactive learning environment
Nki - tutor系統模型包括七個模塊：教學模型、學生模型、知識庫、交互模塊、專家模型、習題模型和模擬垠十領域小w的跨學科智能教學系統的i叮穴：擱獎工具，是在傳統的5個部分，即學生模型、教學模塊、教學內容、交互模塊以及午家模z （ neck ， stern ！ -
Pacs ( picture archiving and communication systems ) can realize efficiencent management and share of radiographic image. it has been widely used in clinic now. the building of pacs system between hospitals can exert expert ' s ability to serve other hospitals
圖象存檔及傳輸系統（ pacs ）實現了臨床放射圖象的有效管理和共享，目前已在臨床中得到了比較廣泛的應用，而建立醫院和醫院之間pacs系統能充分發揮專家隊伍的作用，為基層醫院服務。 -
The tool of expert system on the basis of ann provides the expert with the friendly multimedia interface. experts can train the ann and input the domain experience and knowledge independently. the universal reasoning engine can link different knowledge database and data file to create different expert systems for promoting the speed of building expert systems
基於神經網路的專家系統工具的實現，為專家提供了友好的多媒體人機界面，專家可以獨立訓練神經網路、獨立錄入領域內的經驗和知識，通用推理機可以連接不同的知識庫及數據文件，自動生成不同的專家系統，提高了建造專家系統的速度。
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