Robust learning algorithm for multiplicative neuron model artificial neural networks
作者：
Highlights：
• A new robust learning algorithm was proposed for multiplicative neuron model (MNM).
• The proposed method gives successful results even when data sets have outliers.
• There is no a robust learning algorithm in the literature for MNM.
• The performance of proposed method was supported with real time series data.
• A simulation study was performed to show the performance of the proposed method.
摘要
•A new robust learning algorithm was proposed for multiplicative neuron model (MNM).•The proposed method gives successful results even when data sets have outliers.•There is no a robust learning algorithm in the literature for MNM.•The performance of proposed method was supported with real time series data.•A simulation study was performed to show the performance of the proposed method.
论文关键词：Artificial neural networks,Multiplicative neuron model,Particle swarm optimization,Robust learning algorithm
论文评审过程：Received 4 April 2015, Revised 27 February 2016, Accepted 28 February 2016, Available online 8 March 2016, Version of Record 22 March 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.02.051
