本文關(guān)鍵詞：人工智能技術(shù)在板形控制中的應(yīng)用，由筆耕文化傳播整理發(fā)布。

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金屬學(xué)及金屬工藝

自動(dòng)化技術(shù)

計(jì)算機(jī)軟件及計(jì)算機(jī)應(yīng)用

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經(jīng)濟(jì)理論及經(jīng)濟(jì)思想史

    Application of artificial intelligence technology to forming of materials

    人工智能技術(shù)在材料成形中應(yīng)用的進(jìn)展

短句來源

    The application of artificial intelligence technology in computer numerical control system

    人工智能技術(shù)在數(shù)控系統(tǒng)中的應(yīng)用研究

短句來源

    Application of Artificial Intelligence Technology on Roller Design

    人工智能技術(shù)在軋輥設(shè)計(jì)中的應(yīng)用

短句來源

    Application of Artificial intelligence Technology in the Shape Control

    人工智能技術(shù)在板形控制中的應(yīng)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(jì)算機(jī)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(chǔ)上，結(jié)合焊接工藝的技術(shù)特點(diǎn)，在數(shù)據(jù)庫管理系統(tǒng)中引入專家系統(tǒng)工具，設(shè)計(jì)了基于人工智能技術(shù)的焊接工藝智能數(shù)據(jù)庫系統(tǒng)(WPIDBS)。

短句來源

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    Application of artificial intelligence technology to forming of materials

    人工智能技術(shù)在材料成形中應(yīng)用的進(jìn)展

短句來源

    The application of artificial intelligence technology in computer numerical control system

    人工智能技術(shù)在數(shù)控系統(tǒng)中的應(yīng)用研究

短句來源

    Application of Artificial Intelligence Technology on Roller Design

    人工智能技術(shù)在軋輥設(shè)計(jì)中的應(yīng)用

短句來源

    Application of Artificial intelligence Technology in the Shape Control

    人工智能技術(shù)在板形控制中的應(yīng)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(jì)算機(jī)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(chǔ)上，結(jié)合焊接工藝的技術(shù)特點(diǎn)，在數(shù)據(jù)庫管理系統(tǒng)中引入專家系統(tǒng)工具，設(shè)計(jì)了基于人工智能技術(shù)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(shù)、新方法，尤其是神經(jīng)網(wǎng)絡(luò)、模糊控制等人工智能新技術(shù)在厚度設(shè)定方面的應(yīng)用，為熱軋帶鋼精軋機(jī)組厚度設(shè)定模型的研究提供了全新的方法，促進(jìn)了現(xiàn)場(chǎng)厚度控制精度進(jìn)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(shù)、新方法，尤其是神經(jīng)網(wǎng)絡(luò)、模糊控制等人工智能新技術(shù)在厚度設(shè)定方面的應(yīng)用，為熱軋帶鋼精軋機(jī)組厚度設(shè)定模型的研究提供了全新的方法，促進(jìn)了現(xiàn)場(chǎng)厚度控制精度進(jìn)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(duì)人工智能在鑄造業(yè)中的應(yīng)用進(jìn)行了詳細(xì)論述。由于鑄造生產(chǎn)過程中許多工況都是極其復(fù)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(yīng)用人工智能控制技術(shù)．以進(jìn)一步提高鑄造生產(chǎn)質(zhì)量和經(jīng)濟(jì)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(duì)級(jí)進(jìn)模排樣的特點(diǎn)以及人工智能技術(shù)在工程領(lǐng)域應(yīng)用的研究 ,提出了適用于級(jí)進(jìn)模排樣的基于事例知識(shí)和規(guī)則知識(shí)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(duì)現(xiàn)有事例的工藝進(jìn)行層次化分割、組合的變異設(shè)計(jì)來獲取當(dāng)前零件的完整工藝 ,也可以根據(jù)工藝規(guī)則進(jìn)行創(chuàng)成設(shè)計(jì)。詳細(xì)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(guān)鍵詞：人工智能技術(shù)在板形控制中的應(yīng)用，由筆耕文化傳播整理發(fā)布。