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Improved Ant Colony RBF Spatial Interpolation of Ore Body Visualization Software Development

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Advances on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2017)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 13))

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Abstract

With ore body space interpolation and the three dimensional simulation visualization, has been for the internal structure of the ore body is too complex and the effect not beautiful. Using nonlinear improved ant colony radial basis neural network method for ore grade for interpolation, in contrast to the traditional inverse distance square interpolation method to improve the precision of more. With Vc++ and OpenGL environment developed ore body visualization software, and ore body grade distribution visualization, facilitate further research.

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Acknowledgement

This work is supported by Guangxi Key Laboratory of Cryptography and Information Security, Grant/Award Number: GCIS201610

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Authors and Affiliations

  1. School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, 611731, China

    Xiurong Chen

  2. Engineering University of CAPF, Xi’an, China

    Xuan Wang & Xuguang Wu

Authors
  1. Xiurong Chen
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  2. Xuan Wang
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  3. Xuguang Wu
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Corresponding author

Correspondence to Xiurong Chen .

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Editors and Affiliations

  1. Technical University of Catalonia, Barcelona, Spain

    Fatos Xhafa

  2. Open University of Catalonia, Barcelona, Spain

    Santi Caballé

  3. Fukuoka Institute of Technology (FIT), Fukuoka, Japan

    Leonard Barolli

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Chen, X., Wang, X., Wu, X. (2018). Improved Ant Colony RBF Spatial Interpolation of Ore Body Visualization Software Development. In: Xhafa, F., Caballé, S., Barolli, L. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-319-69835-9_17

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  • DOI: https://doi.org/10.1007/978-3-319-69835-9_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69834-2

  • Online ISBN: 978-3-319-69835-9

  • eBook Packages: EngineeringEngineering (R0)

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