英语学术论常用句型

更新时间:2023-07-06 02:06:25 阅读: 评论:0

英语学术论文常用句型
Begi nning
1.考研报名流程In this paper, we focus on the n eed for
2.This paper p roceeds as follow.
3.The structure of the paper is as follows.
4.In this paper, we shall first briefly in troduce fuzzy ts and related concepts
5.To begi n with we will p rovide a brief backgro und on the
In troduct ion
1.This will be followed by a descri ptio n of the fuzzy n ature of the p roblem and a detailed p re ntati on of how the required membershi p functions are defi ned.
2.Details on xx and xx are discusd in later ct ions.
3.In the n ext ct ion, after a stateme nt of the basic p roblem, various situati ons in volv ing po ssibility kno wledge are in vestigated: first, an en tirely po ssibility model is propo d; the n the cas of a fuzzy rvice time with stochastic arrivals and non fuzzy rvice rule is studied; lastly, fuzzy rvice rule are con sidered.
Review
1.This review is followed by an in troducti on.
2.头屑太多怎么办A brief summary of some of the releva nt concepts in xxx and xxx is p re nted in Section 2.
3.In the n ext ct ion, a brief review of the .... is give n.
4.In the n ext ct ion, a short review of ... is give n with sp ecial regard to ...
5.复仇者联盟经典台词Sectio n 2 reviews releva nt rearch related to xx.
tpo小站6.Section 1.1 briefly surveys the motivati on for a methodology of action, while 1.2 looks a
t the difficulties po d by the compi exity of systems and outl ines the n eed for deve lopment of po ssibility methods.
Body
1.Section 1 defi nes the no ti on of robust ness, and argues for its importance.
2.Section 1 devoted to the basic asp ects of the FLC decisi on mak ing logic.
3.Section 2 gives the backgro und of the p roblem which in cludes xxx
4.英语培训哪个比较好Section 2 discuss some p roblems with and app roaches to, n atural
Ian guage un dersta nding.
5.Sectio n 2 explains how flexibility which ofte n …can be exp resd in terms of fuzzy time wi ndow
6.Section 3 discuss the asp ects of fuzzy t theory that are ud in the ...
also discuss how to evaluate system p erforma nee.
8.Section 3 describes a new measure of xx.
9.Section 3 dem on strates the u of fuzzy p ossibility theory in the an alysis of xx.
10.Section 3 is a fine descri ptio n of fuzzy formulati on of huma n decisi on.
11.Section 3, is deve loped to the modeli ng and p rocess ing of fuzzy decisi on rules
12.The main idea of the FLC is described in Sectio n 3 while Sectio n 4 describes the xx strategies.
13.Section 3 and 4 show exp erime ntal studies for verify ing the prop od model.
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14.Section 4 discuss a p revious fuzzy t bad app roach to cost varia nee in vestigati on.
15.Section 4 gives a sp ecific exa mple of xxx.
16.Section 4 is the exp erime ntal study to make a fuzzy model of memory p rocess.
17.Section 4 contains a discussi on of the imp licati on of the results of Section 2 and 3.
18.Section 4 app lies this fuzzy measure to the an alysis of xx and illustrate its u on exp erime ntal data.
19.Section 5 p re nts the p rimary results of the paper: a fuzzy t model ..
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20.Section 5 contains some con clusi ons plus some ideas for further work.
21.Section 6 illustrates the model with an exa mple.
22.Various ways of justificati on and the reas ons for their choice are discusd very briefly in Section 2.
23.In Section 2 are p re nted the block diagram exp ressi on of a whole model of huma n DM system
24.In Section 2 we shall list a collect ion of basic assu mp ti ons which a ...
scheme must satisfy.
25.In Section 2 of this paper, we p re nt rep re ntati on and uniquen ess theorems for the fun dame ntal measureme nt of fuzz in ess whe n the doma in of discour is order den.
26.In Section 3, we describe the p relim inary results of an emp irical study curre ntly in p rogress to verify the measureme nt model and to con struct membersh ip functions.
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27.presnterI n Sectio n 5 is an alyzed the inference pro cess through the two kinds of inference exp This Section
1.In this ct ion, the characteristics and en viro nment un der which MRP is desig ned are described.
2.We will p rovide in this ct ion basic termi nologies and no tati ons which are n ecessary for the un dersta nding of subque nt results.Next Section
2.The next ct ion describes the mathematics that goes into the computer impi eme ntati on of such fuzzy logic stateme nts.

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