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  • 标题:Neural Network training using FFA and its variants for Channel Equalization
  • 本地全文:下载
  • 作者:Padma Sahu ; Pradyumna Mohapatra ; Siba Panigrahi
  • 期刊名称:International Journal of Computer Information Systems and Industrial Management Applications
  • 印刷版ISSN:2150-7988
  • 电子版ISSN:2150-7988
  • 出版年度:2017
  • 卷号:9
  • 页码:257-264
  • 出版社:Machine Intelligence Research Labs (MIR Labs)
  • 摘要:This Work is on the Artificial Neural Network (ANN) training and application in channel equalization. Here, we design a novel training strategy for neural networks. This training uses Firefly Algorithm (FFA) and its variants to train ANN. Then, these FFA trained ANNs are applied for equalization of nonlinear channels. As proved through simulations, the proposed methodology outperforms the existing ANN based equalization schemes.
  • 关键词:Equalization; Firefly Algorithm; Neural Network
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