Question

谁能帮我翻译一下啊？

Introduction
The requirement of personality and individuality of garments is increasing． Made-to-measure( MTM ) has been a major trend in the development of the world garment industry［1］ ． Figure 1 gives a framework for MTM which uses the digital and network technologies， digital measurement of the human body， digital analysis of the human body， the human body and clothing， automapping， clothing CAD design， web links， and other customized apparel through networking methods． As for garment design， the key is the matching of garment with human bodies［2-4］ ． How to obtain the body model and apply it in garment design and production are very important for MTM system． Fig． 1 An M TM system framework The body classification models and the integration methods with M TM are novel research directions［2-6］ ． Body type has been recognized as the important factor in creating custom-fit silhouette． So some researchers used directly automated M TM computer aided design programs based on body type information， such as AccuM ark M TM of Gerber Scientific and Lectra Systems． Another path is to develop an adaptive M TM system based on new body classifications． Now the major method of body shape analysis is mainly based on cluster
analysis． In a previous research， WANG et al． extracted different indexes of body type cluster by main component analysis［7］ ． Liu et al． presented a body shape analysis approach based on fuzzy particle swarm optimization clustering algorithm［8］ ． Song and Ashdown developed a reliable and objective categorization method for the lower body shapes of women using principal component analysis and cluster analysis［9］ ． As shown above， each of the current methods of categorizing body shape is limited in circumference measurement， lengths， heights， and front or side silhouettes．Adapting for the body， learning， evolutionary， and intelligent capabilities are neglected， whereas they are the key features to coordinate the design processes among customers， designers，and technicians．The aim of this study was to make the following contributions to the researches of M TM by adopting intelligent methods． The body classification framework is based on the cluster analysis that k． nearest-neighbor ( KNN ) and multi-class support vector machine ( M SVM ) ［10］ is proposed． And five body angles are developed to define the body shape． The solution of adaptive M TM is studied and the performance is discussed by case demonstration．

Answer 1

简介
人格与个性的服装的要求也越来越高。量身定做（MTM）已经在世界服装产业［1］发展的一大趋势。图1给出了一个MTM采用数字和网络技术的框架，人体测量，人体的数字分析，该人体与服装，服装CAD设计，automapping，网页链接，和其他服装定制通过网络的方法。对于服装的设计，关键是与人体服装匹配［2-4］。如何获得人体模型并将其应用于服装设计和生产是非常重要的MTM系统。图1 M TM系统的框架体分类模型和M TM集成方法的新的研究方向，6［］。体型已被公认为在创建定制的轮廓的重要因素。因此一些研究者直接使用自动M TM的基础上的计算机辅助设计程序体类型信息，如真空柜M TM格柏科学力克系统。另一条是开发一个基于新体分类的自适应M TM系统。现在的身体形态分析的主要方法主要是基于集群
分析。在以往的研究中，王等人。提取不同体型聚类指标的主成分分析7］［。刘等人。提出了一种体型分析方法基于模糊聚类算法的粒子群优化［8歌和阿什顿］。开发一个可靠和客观的利用主成分分析和聚类分析9女性下体［］形状分类方法。如上图所示，每个电流分体形状的方法是测量长度，周长，高度有限，和前面或侧面剪影。适应身体，学习，进化，和智能功能被忽视，而他们是协调客户，设计过程主要特点的设计师，技术人员。本研究的目的是使以下采用智能方法对M TM的研究贡献。身体的分类框架是基于聚类分析在K近邻（KNN）和多类支持向量机（SVM提出10 m）［］。五身体的角度来界定身体形状。自适应M TM的解决方案进行了研究，通过案例演示了性能

。。。。。。好像蛮乱的

追问

不要电脑翻译的~~

追答

，，，，嘻嘻不好意思哦
，本来要帮你看看的
不过我没空了
嘻嘻祝你好运