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ThinkMind // DATA ANALYTICS 2014, The Third International Conference on Data Analytics // View article data_analytics_2014_3_30_60085


Validation of Simulation Model based on Combined Consistency Analysis of Data and Feature

Authors:
Ming Yang
Wei Li
Lingyun Lu
Song Jiao

Keywords: validation; data consistency; feature consistency; correlation analysis

Abstract:
Comparing the simulation output with reference output is an important measure to validate a simulation model. The classic methods either analyze the data consistency of simulation output and reference output or the consistency of their features. Considering the two types of consistencies simultaneously, a validation method of simulation model based on combined consistency analysis of data and feature is proposed. The measurement model of data consistency integrating the proximity of spatial position and similarity of geometrical shape is presented, and the measurement model of feature consistency based on relative error is given. Besides, the weight of each consistency index was determined by analyzing the correlation among the consistency indexes, and the consistency integration model is given. Finally, the validation method is applied to validate a simulation model of servo-control system.

Pages: 65 to 69

Copyright: Copyright (c) IARIA, 2014

Publication date: August 24, 2014

Published in: conference

ISSN: 2308-4464

ISBN: 978-1-61208-358-2

Location: Rome, Italy

Dates: from August 24, 2014 to August 28, 2013

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