A linear model based on Kalman filter for improving neural network classification performance
作者：
Highlights：
• This paper proposes a method to improve neural network classification performance.
• A linear model was used as post processing of neural network.
• The parameters of linear model was estimated using Kalman filter iteration.
• The method can be applied to classify an object regardless of the type of feature.
• The method has been validated with five different datasets.
摘要
•This paper proposes a method to improve neural network classification performance.•A linear model was used as post processing of neural network.•The parameters of linear model was estimated using Kalman filter iteration.•The method can be applied to classify an object regardless of the type of feature.•The method has been validated with five different datasets.
论文关键词：Neural network,Linear model,Kalman filter,Classification performance
论文评审过程：Received 21 October 2014, Revised 27 November 2015, Accepted 12 December 2015, Available online 21 December 2015, Version of Record 6 January 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2015.12.012
