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On the Development of a Neutral Format with Intelligent Element Classification for Data Sharing between Finite Element Programs

机译:关于具有有限元程序之间的数据共享的智能元素分类的中性格式的开发

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This work presents the basis of the Finite Element Markup Language (FEML) proposal and also an intelligent tool for the recognition and classification of finite elements families used in conjunction with the above XML schema. The need for the classification becomes clear due to the necessity of a mapping between the several elements in a given code and the FEML format. A tree-type search could be used but it can lead to a lengthy if-then-else sequence to perform the matching. The use of a database-type classification could also be an option; however the search mechanism would still be required. Moreover, the use of an intelligent-type classification is also able to accommodate changes in the element families to be classified and new elements can be added with minimum effort. Here, the so-called intelligent classification uses the technology of artificial neural networks, specifically through of application the Self-organizing Map Networks and the Learning Vector Quantization. To carry out this task, the network receives the attributes of the elements and makes its classification, in terms of equivalent (or similar, less specialised) elements. At the end, it allows for the interface programs to "translate" between a specific (proprietor) format and the neutral format, in an intelligent way, minimizing errors due to manual data transcription and eliminating the necessity of searching the entire tree of elements.
机译:这项工作提出了有限元标记语言(FEML)提案的基础,也是一个智能工具,用于识别和分类与上述XML模式结合使用的有限元素。由于给定代码中的几个元素与FEML格式的若干元素之间的必要性,对分类的需求变得清楚。可以使用树类型搜索,但它可以导致冗长的if-well-else序列来执行匹配。使用数据库类型分类也可以是一个选项;但是,仍然需要搜索机制。此外,使用智能型分类也能够适应要分类的元素系列的变化,并且可以以最小的努力添加新的元素。这里,所谓的智能分类使用人工神经网络的技术,具体通过应用自组织地图网络和学习矢量量化。为了执行此任务,网络接收元素的属性并以等同的(或类似,较少的专业化)元素而进行分类。最后,它允许接口程序以智能方式“转换”在特定(所有者)格式和中性格式之间“转换”,以智能化方式,最小化由于手动数据转录而导致的错误,并消除搜索整个元素树的必要性。

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