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    英文科技论文写作常用句式.docx

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    英文科技论文写作常用句式.docx

    1、英文科技论文写作常用句式在这篇文章中,我们说明(介绍)了一种方法In this work ,we address the problem of +doing sthIn this paper , we propose the .在这一章节,我们介绍In this section , we present .We demonstrate out algorithm on two tasks :A被认为是B A can be regarded as B为了这个目的,我们提出了 ATo this end ,we propose A.在样本的和上都很有效make effective use of bo

    2、th .and .among samples.当应用到中的时候 When applied to.通过将和结合起来,By combining .and . , .A是B中的一个基本问题之一Ais one of the fundamental problems in B目的在于 Its goal is to do .We aim at doing.Our target is .Our basic notion is to do.为了达到的目的 To achieve .To achieve this ,因为,做什么是困难的As . , it is very difficult to do .As.,

    3、 ir is usually hard to .Due to .e.g.:As the variance of object shape and color within an object class can be large,it is very difficult to obtain class-specific features that can describe the object class accurately.就这点而言, In this regard, .一方面来说,另一方面来说,On the one hand , . , on the other hand , .这极大的

    4、降低了的难度This greatly reduces the difficulty of .这个算法可以应用于These algorithm may be applicable to .是不太可能的 It is unlikely to do.(偏向于)将认为是.is prone to judge . as . view . as .可以解决问题 . is the solution to .跟相比较, Compared to .这篇文章接下来的内容安排如下The remainder of this paper is organized as follows:(introduces, detail

    5、s, extends . to address . , presents the results , concludes our paper)前面已经提到, As mentioned before,.换句话来说, On the other hand , .自然而然地,It is natural , .e.g. It is natural that this threshold be chosen as the mean of pi.图示 . is outlined in Fig. 2.Fig. 4 shows .通过方法,可以得到By doing sth ,we have sth.e.g. B

    6、y iteration over all selected images and matching visual words to all detected object parts using NGC, we have a table of the spatial ralation between pairs of visual words .由于极大地依赖于,有必要As . heavily relies on . , it is necessary to do .这就说明了 This testifies to the .本文的主旨在于 The core is .英语学术论文常用经典句型Be

    7、ginning1. In this paper, we focus on the need for2. This paper proceeds as follow.3. The structure of the paper is as follows.4. In this paper, we shall first briefly introduce fuzzy sets and related concepts5. To begin with we will provide a brief background on theIntroduction1. This will be follow

    8、ed by a description of the fuzzy nature of the problem and a detailed presentation of how the required membership functions are defined.2. Details on xx and xx are discussed in later sections.3. In the next section, after a statement of the basic problem, various situations involving possibility kno

    9、wledge are investigated: first, an entirely possibility model is proposed; then the cases of a fuzzy service time with stochastic arrivals and non fuzzy service rule is studied; lastly, fuzzy service rule are considered.Review1. This review is followed by an introduction.2. A brief summary of some o

    10、f the relevant concepts in xxx and xxx is presented in Section 2.3. In the next section, a brief review of the . is given.4. In the next section, a short review of . is given with special regard to .5. Section 2 reviews relevant research related to xx.6. Section 1.1 briefly surveys the motivation fo

    11、r a methodology of action, while 1.2 looks at the difficulties posed by the complexity of systems and outlines the need for development of possibility methods.Body1. Section 1 defines the notion of robustness, and argues for its importance.2. Section 1 devoted to the basic aspects of the FLC decisio

    12、n making logic.3. Section 2 gives the background of the problem which includes xxx4. Section 2 discusses some problems with and approaches to, natural language understanding.5. Section 2 explains how flexibility which often . can be expressed in terms of fuzzy time window6. Section 3 discusses the a

    13、spects of fuzzy set theory that are used in the .7. Section 3 describes the system itself in a general way, including the . and also discusses how to evaluate system performance.8. Section 3 describes a new measure of xx.9. Section 3 demonstrates the use of fuzzy possibility theory in the analysis o

    14、f xx.10. Section 3 is a fine description of fuzzy formulation of human decision.11. Section 3, is developed to the modeling and processing of fuzzy decision rules12. The main idea of the FLC is described in Section 3 while Section 4 describes the xx strategies.13. Section 3 and 4 show experimental s

    15、tudies for verifying the proposed model.14. Section 4 discusses a previous fuzzy set based approach to cost variance investigation.15. Section 4 gives a specific example of xxx.16. Section 4 is the experimental study to make a fuzzy model of memory process.17. Section 4 contains a discussion of the

    16、implication of the results of Section 2 and 3.18. Section 4 applies this fuzzy measure to the analysis of xx and illustrate its use on experimental data.19. Section 5 presents the primary results of the paper: a fuzzy set model .20. Section 5 contains some conclusions plus some ideas for further wor

    17、k.21. Section 6 illustrates the model with an example.22. Various ways of justification and the reasons for their choice are discussed very briefly in Section 2.23. In Section 2 are presented the block diagram expression of a whole model of human DM system24. In Section 2 we shall list a collection

    18、of basic assumptions which a . scheme must satisfy.25. In Section 2 of this paper, we present representation and uniqueness theorems for the fundamental measurement of fuzziness when the domain of discourse is order dense.26. In Section 3, we describe the preliminary results of an empirical study cu

    19、rrently in progress to verify the measurement model and to construct membership functions.27. In Section 5 is analyzed the inference process through the two kinds of inference experiments.This Section1. In this section, the characteristics and environment under which MRP is designed are described.2.

    20、 We will provide in this section basic terminologies and notations which are necessary for the understanding of subsequent results.Next Section2. The next section describes the mathematics that goes into the computer implementation of such fuzzy logic statements.3. However, it is cumbersome for this

    21、 purpose and in practical applications the formulae were rearranged and simplified as discussed in the next section.4. The three components will be described in the next two section, and an example of xx analysis of a computer information system will then illustrate their use.5. We can interpret the

    22、 results of Experiments I and II as in the following sections.6. The next section summarizes the method in a from that is useful for arguments based on xxSummary1. This paper concludes with a discussion of future research consideration in section 5.2. Section 5 summarizes the results of this investi

    23、gation.3. Section 5 gives the conclusions and future directions of research.4. Section 7 provides a summary and a discussion of some extensions of the paper.5. Finally, conclusions and future work are summarized6. The basic questions posed above are then discussed and conclusions are drawn.7. Sectio

    24、n 7 is the conclusion of the paper.Chapter 0. Abstract1. A basic problem in the design of xx is presented by the choice of a xx rate for the measurement of experimental variables.2. This paper examines a new measure of xx in xx based on fuzzy mathematics which overcomes the difficulties found in oth

    25、er xx measures.3. This paper describes a system for the analysis of the xx.4. The method involves the construction of xx from fuzzy relations.5. The procedure is useful in analyzing how groups reach a decision.6. The technique used is to employ a newly developed and versatile xx algorithm.7. The use

    26、fulness of xx is also considered.8. A brief methodology used in xx is discussed.9. The analysis is useful in xx and xx problem.10. A model is developed for a xx analysis using fuzzy matrices.11. Algorithms to combine these estimates and produce a xx are presented and justified.12. The use of the met

    27、hod is discussed and an example is given.13. Results of an experimental applications of this xx analysis procedure are given to illustrate the proposed technique.14. This paper analyses problems in15. This paper outlines the functions carried out by .16. This paper includes an illustration of the .1

    28、7. This paper provides an overview and information useful for approaching18. Emphasis is placed on the construction of a criterion function by which the xx in achieving a hierarchical system of objectives are evaluated.19. The main emphasis is placed on the problem of xx20. Our proposed model is ver

    29、ified through experimental study.21. The experimental results reveal interesting examples of fuzzy phases of: xx, xx22. The compatibility of a project in terms of cost, and xx are likewise represented by linguistic variables.23. A didactic example is included to illustrate the computational procedur

    30、eChapter 1. IntroductionTime1. Over the course of the past 30 years, . has emerged form intuitive2. Technological revolutions have recently hit the industrial world3. The advent of . systems for has had a significant impact on the4. The development of . is explored5. During the past decade, the theo

    31、ry of fuzzy sets has developed in a variety of directions6.The concept of xx was investigated quite intensively in recent years7. There has been a turning point in . methodology in accordance with the advent of .8. A major concern in . today is to continue to improve.9. A xx is a latecomer in the part representation arena.10. At the time of this writing, there is still no standard way of xx11. Although a lot of effort is bein


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