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2016英文翻译格式示例.doc

发布:2016-11-25约1.05万字共5页下载文档
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这是翻译的示例,字体字号行间距等格式请参照此例。 文档中不能有错别字,文字语句通顺、流畅,叙述简明扼要,思路要清晰,层次要清楚;要符合学校规定的撰写及排版格式要求,无低级错误。 An Improved Rough Set Approach to Design of Gating Schem一种关于注射成型改进的粗糙集方法浇注方案设计 F. Shi,Z. L. Lou,J. G. Lu and Y. Q. Zhang 译者:★★★,材型07-2班 2007000000 摘要:Chemical Technology, PR China 在The gate is one of the most important functional structures in一个注塑模具中,浇口是最重要的功能结构之一an injection mould, as it has a direct influence on the quality,因为它对于注塑产品质量有直接影响。of the injection products.浇口The design of a gating scheme浇口方案设计includes the selection of the types of gate and calculation of包括闸门和计算的大小和位置类型选择the sizes and determination of the location, which depends,这取决于heavily on prior experience and knowledge and involves a以前的经验和知识也包括trial-and-error process.试验和错误的过程。Due to the vagueness and uncertainty由于模糊性和不确定性,in the design of a gating scheme, classical rough set theory在一个浇口方案设计,经典粗集理论is not effective.是不能奏效的。In this paper, a fuzzy rough set model is在此提出了一种模糊粗集模型proposed, which is not based on equivalent relationships but建议,这不等同于关系为基础,但跟on fuzzy similarity relationships.模糊相似关系。An inductive learning algor归纳学习算法基于模糊粗集模型(FRILA),然后presented.提出的。Compared to decision tree algorithms, the proposed相比决策树算法,这种建议algorithm can generate fewer classification rules; moreover算法可以产生更少的分类规则,而且,the generated rules are more concise.生成的规则更加简明。Finally, an intelligent最后,智能prototype system for the design of a gating scheme based on原型的浇口控系统的方案设计基于an induced fuzzy knowledge base is developed.诱导模糊的知识基础已开发。An illustrative一个说明性example proves the effectiveness of the proposed method例子证明了该方法的有效性。 Keywords: Fuzzy rough set; Gating scheme; Injection mold;关键词:模糊粗集;浇注计划;注塑模具;Intelligent design; Knowledge acquisition智能设计;知识获取 1.1 导言 The manufacturing industry for plastic products has been grow- 品制造业在近几年迅速增长,ing rapidly in recent years, and plastics are used widely to塑料代替金属广泛使用。于制造热塑性塑料部件,注塑过程是most popular moulding process for making thermoplastic parts.最流行的成型工艺。The feeding system, which is one of the important functional该给料系统,这
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