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文章基本信息

  • 标题:Enhanced Artificial Neural Network Approach to Identify Specific Binary Pattern
  • 本地全文:下载
  • 作者:Jitendra Singh Sengar
  • 期刊名称:International Journal of Hybrid Information Technology
  • 印刷版ISSN:1738-9968
  • 出版年度:2015
  • 卷号:8
  • 期号:6
  • 页码:391-396
  • DOI:10.14257/ijhit.2015.8.6.38
  • 出版社:SERSC
  • 摘要:The main focus of this paper is to design a Artificial Neural Network Modal to identify specific binary pattern. This pattern will work at binary level to recognize that the received data is authentic at low level, through this work we are able to design a specific binary pattern and it would apply directly to the input layer to check accuracy in data at binary mean at low level. In this paper we have four bit data and user may arrange it in his own specific pattern, then ANN Modal will train for the given pattern then it will apply to check the pattern is found and data is authentic.
  • 关键词:Artificial Neural Network; Binary Pattern Recognition; Learning or ; training Algorithms
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