@inproceedings{e69e93932fdd46baa8bc9982f50dd7fd,
title = "Research on surface roughness prediction model based on CT genetic algorithm for optical ultra-precision machining",
abstract = "In this paper a dynamic non-linear mathematics model is proposed to predict the surface roughness in optical ultra-precision machining, which can be automatically built by evoling computer program of genetic algorithm. The new model can improve the fitting and predicting accuracy, compared with the traditional linear regression model. The numerical simulation test proves the effectiveness and accuracy of new model.",
keywords = "Evolutionary model, Genetic algorithm, Surface roughness",
author = "Du, \{J. J.\} and Cheung, \{C. F.\} and S. To and Liu, \{Z. Y.\}",
year = "2008",
doi = "10.4028/www.scientific.net/AMM.10-12.369",
language = "英语",
isbn = "0878494707",
series = "Applied Mechanics and Materials",
publisher = "Trans Tech Publications Ltd",
pages = "369--373",
booktitle = "e-Engineering and Digital Enterprise Technology",
address = "瑞士",
}