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A Weather Forecast System Based on Artificial Immune System

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Advances in Natural Computation (ICNC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3611))

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Abstract

Inspired by the learning mechanism of the biological immune system, the paper presents a method for weather forecast. Expressions of antigen and B-cell are defined. An immune-based supervised learning algorithm is described in detail. A weather forecast system based on immune theory has thus been presented. The experimental results show that the proposed method has higher forecast accuracy rate than neural network based weather forecast technique.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Sichuan University, Chengdu, China

    Chunlin Xu, Tao Li, Xuemei Huang & Yaping Jiang

Authors
  1. Chunlin Xu
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  2. Tao Li
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  3. Xuemei Huang
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  4. Yaping Jiang
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. School of Software, Sun Yat-Sen University, 510275, Guangzhou, China

    Ke Chen

  3. School of Computer Engineering, Nanyang Technological University, BLK N4, 2b-39, Nanyang Avenue, 639798, Singapore

    Yew Soon Ong

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© 2005 Springer-Verlag Berlin Heidelberg

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Xu, C., Li, T., Huang, X., Jiang, Y. (2005). A Weather Forecast System Based on Artificial Immune System. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539117_112

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  • DOI: https://doi.org/10.1007/11539117_112

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28325-6

  • Online ISBN: 978-3-540-31858-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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