A new method combining discrete wavelet transform and neural network for high energy physics problem
作者: Hind Khudheyer Hisham Jashami
刊名: International Journal of Research in Engineering and Innovation, 2019, Vol.3 (2)
来源数据库: Meerut Institute of Technology
关键词: SVMHigh-Energy PhysicsPower of Signal
原始语种摘要: In this paper, a new method proposed for high energy physics problem combining discrete wavelet transform and neural network. DWT used to decrease the size of features and the output of DWT wired to the neural network. The neural network applied to classify the features that obtained by DWT. Several statistical parameters are calculated to evaluate the performance of the proposed method. The proposed method presented remarkable results when compared with previous studies.
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关键词翻译
关键词翻译
  • wavelet 波涟
  • network 网络
  • neural 神经系统的
  • combining 组合
  • transform 变换
  • features 特征
  • physics 物理学
  • DWT 净载重吨
  • method 方法
  • SVM 共享虚拟存储器