Artificial Neural Network trained by Particle Swarm Optimization for non-linear channel equalization

作者：

Highlights：

• Development of a learning method for optimization of network topology of ANN.

• Use of PSO trained ANN in channel equalization.

• PSO trained ANN equalizers performs better than PSO based equalizers as well as ANN based equalizers.

摘要

•Development of a learning method for optimization of network topology of ANN.•Use of PSO trained ANN in channel equalization.•PSO trained ANN equalizers performs better than PSO based equalizers as well as ANN based equalizers.

论文关键词：Artificial Neural Network,Particle Swarm Optimization,Channel equalization

论文评审过程：Available online 31 October 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.10.053