For information about querying tables with joins , see 有關(guān)用聯(lián)接查詢表的信息,請(qǐng)參閱
For example , you can query tables in other databases 例如,您可以查詢其他數(shù)據(jù)庫中的表。
Materialized query table - 物化查詢表
The database user should only be allowed to query tables and views that contain input data 應(yīng)該只允許數(shù)據(jù)庫用戶查詢包含輸入數(shù)據(jù)的表和視圖。
Not supported are range clustered tables , materialized query tables , and typed tables 不支持范圍簇表( rct ) 、物化查詢表( mqt )和有類型的表。
Sql server mobile also includes sql server mobile query analyzer , a tool you can use to query tables in a database Sql server mobile還包含sql server mobile查詢分析器,這是一種可以用來查詢數(shù)據(jù)庫表的工具。
Materialized query tables that can be defined over queries referencing both relational and nonrelational nicknames to locally cache the query results 物化查詢表,可以在引用關(guān)系和非關(guān)系昵稱的查詢上定義物化查詢表,以便本地緩存查詢結(jié)果。
Using the olap metadata , cube views optimization advisor can now analyze underlying dimensional data and create the most efficient set of materialized query tables mqts for your olap applications 使用olap元數(shù)據(jù), cube views optimization advisor現(xiàn)在可以分析基本的維度數(shù)據(jù)以及為olap應(yīng)用程序創(chuàng)建一組最有效的實(shí)例化的查詢表( mqt ) 。
An introduction of design method of fuzzy controller is given . the method of the combination of the genetic algorithms and fuzzy control is studied . the method of optimizing the fuzzy control query table by using the genetic algorithms is discussed 介紹了模糊控制器的設(shè)計(jì)方法,并研究了遺傳算法與模糊控制的融合方式,探討了用遺傳算法直接優(yōu)化模糊控制決策表。
Then a kind of fuzzy - smith control strategies for a large dead - time system is studied and improved . the simulation results show that the fuzzy - smith control method has some excellent performances , which is suitable for systems with deadtime - varying parameters . considering that the conventional fuzzy has a shortcoming of invariable fuzzy rules , an algorithm of adjustable fuzzy rules based on a single neural cell is proposed in this paper , which is used for modifying the fuzzy control query table on - line 本文分析了模糊控制、神經(jīng)網(wǎng)絡(luò)和常規(guī)控制算法存在的不足,研究了如何將各算法的優(yōu)勢互補(bǔ),相互融合,形成復(fù)合的自適應(yīng)智能控制算法;針對(duì)大時(shí)滯系統(tǒng)的特點(diǎn)研究了fuzzy - smith控制算法,并在前人基礎(chǔ)上做出了一定的改進(jìn)研究,進(jìn)一步提高了fuzzy - smith控制算法的性能;又將常規(guī)pid與神經(jīng)網(wǎng)絡(luò)有機(jī)結(jié)合,研究了單神經(jīng)元pid控制算法:針對(duì)常規(guī)模糊控制不可調(diào)整模糊控制規(guī)則的局限,本文利用單神經(jīng)元的自適應(yīng)、自學(xué)習(xí)能力對(duì)模糊規(guī)則庫進(jìn)行了間接在線自調(diào)整。