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  • 标题:Assembler Encoding Improved,
  • 本地全文:下载
  • 作者:Praczyk Tomasz
  • 期刊名称:Computational Methods in Science and Technology
  • 印刷版ISSN:1505-0602
  • 出版年度:2012
  • 卷号:18
  • 期号:1
  • 页码:11-24
  • DOI:10.12921/cmst.2012.18.01.11-24
  • 出版社:Poznan Supercomputing and Networking Center
  • 摘要:

    Assembler Encoding is a neuro-evolutionary method which was used to produce a neural decision system for a team of autonomous underwater vehicles. Since results accomplished during experiments with the classic variant of Assembler Encoding appeared to be unsatisfactory, the method has been appropriately improved. The paper presents modifications to Assembler Encoding and reports experiments whose main goal was to test effectiveness of each of them.

  • 关键词:evolutionary neural networks
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