ONLINE PREDICTION OF PLATE DEFORMATIONS UNDER EXTERNAL FORCES USING NEURAL NETWORKS

机译：使用神经网络在线预测外力作用下的板变形

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Recently online prediction of plate deformations in modern systems have been considered by many researchers, common standard methods are highly time consuming and powerful processors are needed for online computation of deformations. Artificial neural networks have capability to develop complex, nonlinear functional relationships between input and output patterns based on limited data. A good trained network could predict output data very fast with acceptable accuracy. This paper describes the application of an artificial neural network to identify deformation pattern of a four-side clamped plate under external loads. In this paper the distributed loads are approximated by a set of concentrated loads. An artificial neural network is designed to predict plate deformation pattern under external forces. Results indicate a well trained artificial neural network reveals an extremely fast convergence and a high degree of accuracy in the process of predicting deformation pattern of plates. Additionally this paper represents application of neural network in inverse problem. This part illustrates the capability of neural networks in identification of plate external loads based on plate deformations. Load identification has many applications in identification of real loads in machineries for design and development.

机译：最近，许多研究人员已经考虑了现代系统中板变形的在线预测，常见的标准方法非常耗时，并且在线变形计算需要强大的处理器。人工神经网络具有基于有限数据在输入和输出模式之间开发复杂的非线性功能关系的能力。一个训练有素的网络可以以可接受的精度非常快速地预测输出数据。本文介绍了人工神经网络在识别四面夹板在外部载荷作用下的变形模式的应用。在本文中，分布载荷通过一组集中载荷来近似。设计了人工神经网络来预测外力作用下的板变形模式。结果表明，训练有素的人工神经网络在预测板变形模式的过程中显示出极快的收敛性和较高的准确性。此外，本文还介绍了神经网络在反问题中的应用。这部分说明了神经网络基于板变形识别板外部载荷的能力。负载识别在设计和开发机械的实际负载识别中有许多应用。

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来源
《DE-vol.119; CED-vol.11; American Society of Mechanical Engineers(ASME) International Mechanical Engineering Congress and Exposition; 20061105-10; Chicago,IL(US)》|2006年|P.1219-1225|共7页
会议地点 ChicagoIL(US)
作者
M.T. Ahmadian; A. Mobini;
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作者单位

Center of Excellence in design, Robotics and Automation, school of Mechanical Engineering, Sharif University of Technology P.O.Box 11365-9567, Tehran, Iran;

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原文格式 PDF
正文语种 eng
中图分类机械设计、计算与制图;计算技术、计算机技术;
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ONLINE PREDICTION OF PLATE DEFORMATIONS UNDER EXTERNAL FORCES USING NEURAL NETWORKS

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