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文章基本信息

  • 标题:Diverse Neural Architectures in Assembler Encoding
  • 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:2014
  • 卷号:20
  • 期号:1
  • 页码:21
  • DOI:10.12921/cmst.2014.20.01.21-34
  • 出版社:Poznan Supercomputing and Networking Center
  • 摘要:The paper presents a neuro-evolutionary method called Assembler Encoding (AE) and proposes its several modifications. The main goal of the modifications is to ensure AE greater freedom in generating diverse neural architectures. To compare the modifications with each other and with the original method the particular case of the predator-prey problem has been discussed.
  • 其他关键词:evolutionary neural networks
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