材料设计与产品关系的建立 有限元-神经网络混合技术在设计领域中的应用

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摘要翻译：
本文研究了基于人工智能的建模技术，根据产品的功能要求，优化开发性能和化学成分必须改进的新合金。目前的研究工作以小说AI代替预测，建立材料与产品之间的关联习惯。先进的计算模拟技术，如CFD,FEA询问是可行的，以认证产品的动态背景下的实验研究。因此，当前的研究主要集中在材料设计与产品设计领域之间的绑定关系上。输入前馈反向传播预测网络模型构成材料设计特征。与产品设计策略相关的参数作为目标输出提供。人工神经网络的结果表明，材料与产品设计领域之间具有良好的相关性。本研究为说明新产品开发过程中的物质因素提供了一条新的途径。
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英文标题：
《Establishment of Relationships between Material Design and Product
  Design Domains by Hybrid FEM-ANN Technique》
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作者：
K. Soorya Prakash, S. S. Mohamed Nazirudeen, M. Joseph Malvin Raj
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最新提交年份：
2010
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Artificial Intelligence        人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要：
  In this paper, research on AI based modeling technique to optimize development of new alloys with necessitated improvements in properties and chemical mixture over existing alloys as per functional requirements of product is done. The current research work novels AI in lieu of predictions to establish association between material and product customary. Advanced computational simulation techniques like CFD, FEA interrogations are made viable to authenticate product dynamics in context to experimental investigations. Accordingly, the current research is focused towards binding relationships between material design and product design domains. The input to feed forward back propagation prediction network model constitutes of material design features. Parameters relevant to product design strategies are furnished as target outputs. The outcomes of ANN shows good sign of correlation between material and product design domains. The study enriches a new path to illustrate material factors at the time of new product development.
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PDF链接：
https://arxiv.org/pdf/1002.1157

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关键词：神经网络 神经网 有限元 relationship Improvements research 作为 ANN 研究 建立