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期刊论文

A Novel Approach to Extract Knowledge from Simulation Results

彭颖红X. Shi J. Chen H. Yang Y. Peng and X. Ruan

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摘要/描述

The extraction of knowledge from simulation results is becoming increasingly important, as numerical simulation is being widely used in the engineering design process. Knowledge extraction systems face challenging problems as the databases of simulation results tend to be dynamic, incomplete, redundant, sparse, and very large. This paper describes a novel approach for handling them. A consistent object-oriented data model for finite-element analysis results has been created usingEXPRESS-G, which has facilitated the construction of a database for the knowledge mining procedure. After briefly introducing Rough Sets Theory (RST) and principal component analysis (PCA), this paper investigates the capabilities andimplementation of both methods for extracting knowledge from simulation results. The methodology developed has been applied to a real application in sheet metal forming simulation and the results are presented.

版权说明:以下全部内容由彭颖红上传于   2005年03月15日 23时04分08秒,版权归本人所有。

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