artificial intelligence technology 在 金屬學及金屬工藝 分類中 的翻譯結(jié)
本文關鍵詞:人工智能技術在板形控制中的應用,由筆耕文化傳播整理發(fā)布。
在分類學科中查詢 所有學科 金屬學及金屬工藝 自動化技術 計算機軟件及計算機應用 電力工業(yè) 互聯(lián)網(wǎng)技術 建筑科學與工程 冶金工業(yè) 動力工程 經(jīng)濟理論及經(jīng)濟思想史 歷史查詢
Application of artificial intelligence technology to forming of materials 人工智能技術在材料成形中應用的進展 短句來源 The application of artificial intelligence technology in computer numerical control system 人工智能技術在數(shù)控系統(tǒng)中的應用研究 短句來源 Application of Artificial Intelligence Technology on Roller Design 人工智能技術在軋輥設計中的應用 短句來源 Application of Artificial intelligence Technology in the Shape Control 人工智能技術在板形控制中的應用 短句來源 This dissertation studies on an intelligent database system of welding procedures (WPIDBS), which is based on artificial intelligence technology by introducing ES tool to database management system (DBMS). 根據(jù)焊接工藝計算機一體化管理的需求,,本文在分析已有焊接工藝專家系統(tǒng)和焊接工藝數(shù)據(jù)庫系統(tǒng)現(xiàn)狀的基礎上,結(jié)合焊接工藝的技術特點,在數(shù)據(jù)庫管理系統(tǒng)中引入專家系統(tǒng)工具,設計了基于人工智能技術的焊接工藝智能數(shù)據(jù)庫系統(tǒng)(WPIDBS)。 短句來源 更多 Application of artificial intelligence technology to forming of materials 人工智能技術在材料成形中應用的進展 短句來源 The application of artificial intelligence technology in computer numerical control system 人工智能技術在數(shù)控系統(tǒng)中的應用研究 短句來源 Application of Artificial Intelligence Technology on Roller Design 人工智能技術在軋輥設計中的應用 短句來源 Application of Artificial intelligence Technology in the Shape Control 人工智能技術在板形控制中的應用 短句來源 This dissertation studies on an intelligent database system of welding procedures (WPIDBS), which is based on artificial intelligence technology by introducing ES tool to database management system (DBMS). 根據(jù)焊接工藝計算機一體化管理的需求,本文在分析已有焊接工藝專家系統(tǒng)和焊接工藝數(shù)據(jù)庫系統(tǒng)現(xiàn)狀的基礎上,結(jié)合焊接工藝的技術特點,在數(shù)據(jù)庫管理系統(tǒng)中引入專家系統(tǒng)工具,設計了基于人工智能技術的焊接工藝智能數(shù)據(jù)庫系統(tǒng)(WPIDBS)。 短句來源 更多 This paper summarizes advanced technology and methods adopted to improve accuracy of strip thickness. Particularly artificial intelligence technology,such as neural networks,fuzzy control and so on,provide a new method and promote further improvement of thickness accuracy. 綜述了目前在提高厚度精度方面所采用的新技術、新方法,尤其是神經(jīng)網(wǎng)絡、模糊控制等人工智能新技術在厚度設定方面的應用,為熱軋帶鋼精軋機組厚度設定模型的研究提供了全新的方法,促進了現(xiàn)場厚度控制精度進一步提高。 短句來源
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artificial intelligence technology
The first phase of the Intelligent Labelling Explorer project has built the ILEX-1.1 system, which uses artificial intelligence technology to generate descriptions of objects displayed in a museum gallery.
Various researchers have applied artificial intelligence technology in the form of export systems to the process of database design.
Characterising Artificial Intelligence technology for international transfer
It is argued that Artificial Intelligence technology, if properly used, could contribute substantially to coping with some of the major problems the world faces because of the highly complex interconnectivity of modern human society.
According to the principle, "The failure data is the basis of software reliability analysis", we built a software reliability expert system (SRES) by adopting the artificial intelligence technology.
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This paper summarizes advanced technology and methods adopted to improve accuracy of strip thickness. Particularly artificial intelligence technology,such as neural networks,fuzzy control and so on,provide a new method and promote further improvement of thickness accuracy.
綜述了目前在提高厚度精度方面所采用的新技術、新方法,尤其是神經(jīng)網(wǎng)絡、模糊控制等人工智能新技術在厚度設定方面的應用,為熱軋帶鋼精軋機組厚度設定模型的研究提供了全新的方法,促進了現(xiàn)場厚度控制精度進一步提高。
The article describes the applying of artificial intelligence theory in detail. Because of complicated production system in foundry. normal control theories can not very effectively control production process. It is put forward that foundry industry must widely and deeply apply artificial intelligence technology to improve production quality and economy profit at present and in the future.
本文對人工智能在鑄造業(yè)中的應用進行了詳細論述。由于鑄造生產(chǎn)過程中許多工況都是極其復雜的系統(tǒng),所以采用常規(guī)的控制理論往往不能很好的控制生產(chǎn)過程.因此提出了鑄造業(yè)現(xiàn)在和將來的發(fā)展都必須廣泛應用人工智能控制技術.以進一步提高鑄造生產(chǎn)質(zhì)量和經(jīng)濟效益。
According to the characteristics of the layout of progressive dies and the study of artificial intelligence technology applied in the field of engineering, a mixed CBR knowledge and regularity knowledge was put forward for the layout of progressive dies. The strategy can be inferred through case of based on combination principle, namely.
針對級進模排樣的特點以及人工智能技術在工程領域應用的研究 ,提出了適用于級進模排樣的基于事例知識和規(guī)則知識的混合推理策略 ,該策略既可以通過基于組合原理的分層次事例推理 ,即通過對現(xiàn)有事例的工藝進行層次化分割、組合的變異設計來獲取當前零件的完整工藝 ,也可以根據(jù)工藝規(guī)則進行創(chuàng)成設計。詳細介紹了組合原理以及基于組合原理思想的層次化事例推理方法并給出了模型框架圖
 
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本文關鍵詞:人工智能技術在板形控制中的應用,由筆耕文化傳播整理發(fā)布。
本文編號:206701
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