A weather forecast system based on artificial immune system

  • Authors:
  • Chunlin Xu;Tao Li;Xuemei Huang;Yaping Jiang

  • Affiliations:
  • Department of Computer Science, Sichuan University, Chengdu, China;Department of Computer Science, Sichuan University, Chengdu, China;Department of Computer Science, Sichuan University, Chengdu, China;Department of Computer Science, Sichuan University, Chengdu, China

  • Venue:
  • ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
  • Year:
  • 2005

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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.