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Trigonometric Curve Fitting Based on Genetic Algorithm and the Application of Data Processing in Geography

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Computational Intelligence and Intelligent Systems (ISICA 2009)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 51))

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Abstract

Based on the characteristics of genetic algorithm, the paper provides a method of curve-fitting of trigonometric functions on genetic algorithm. It also takes geological data as an example to explain the application of the algorithm. At the same time, it improves and optimizes some shortcomings existing in the simple genetic algorithm in curve fitting trigonometric functions and the convergence speed as well.

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References

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Author information

Authors and Affiliations

  1. Baolei Gu, School of Computer Science, China University of Geosciences, Lumo Road 388, Wuhan, 430074, China

    Baolei Gu

Authors
  1. Baolei Gu
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Editor information

Editors and Affiliations

  1. School of Computer Science, China University of Geosciences, 430074, Wu-Han, China

    Zhihua Cai

  2. State Key Laboratory of Novel Software Technology,, Nanjing University, P.O. Box, China

    Zhenhua Li

  3. Computation Center, Wuhan University, Wuhan, China

    Zhuo Kang

  4. School of Computer Science and Engineering, The University of Aizu, Japan

    Yong Liu

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© 2009 Springer-Verlag Berlin Heidelberg

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Gu, B. (2009). Trigonometric Curve Fitting Based on Genetic Algorithm and the Application of Data Processing in Geography. In: Cai, Z., Li, Z., Kang, Z., Liu, Y. (eds) Computational Intelligence and Intelligent Systems. ISICA 2009. Communications in Computer and Information Science, vol 51. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04962-0_12

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  • DOI: https://doi.org/10.1007/978-3-642-04962-0_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04961-3

  • Online ISBN: 978-3-642-04962-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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