Classification of EEG signals for epileptic seizures using hybrid artificial neural networks based wavelet transforms and fuzzy relations
作者：
Highlights：
• Classification of EEG signals for detection of epileptic seizures.
• Feature extraction with discrete wavelet transforms.
• Reduction the dimensionality of features using Fuzz Relations.
• Artificial neural networks based cross-entropy and information criteria.
• Genetic and gradient based algorithms.
摘要
•Classification of EEG signals for detection of epileptic seizures.•Feature extraction with discrete wavelet transforms.•Reduction the dimensionality of features using Fuzz Relations.•Artificial neural networks based cross-entropy and information criteria.•Genetic and gradient based algorithms.
论文关键词：EEG signal processing,Epileptic seizures,Discrete wavelet transform,Artificial neural networks,Genetic algorithms,Fuzzy relations
论文评审过程：Received 17 May 2017, Revised 11 July 2017, Accepted 13 July 2017, Available online 15 July 2017, Version of Record 21 July 2017.
论文官网地址：https://doi.org/10.1016/j.eswa.2017.07.020
