A genetically optimized neural network model for multi-class classification

作者：

Highlights：

• An enhanced Genetically Optimized Neural Network (GONN) is proposed for Multi-class data classification.

• Multi-tree GONN classifier is used to classify multi-class data.

• Enhanced GONN produces the highest classification accuracy among other classifiers in less time.

摘要

•An enhanced Genetically Optimized Neural Network (GONN) is proposed for Multi-class data classification.•Multi-tree GONN classifier is used to classify multi-class data.•Enhanced GONN produces the highest classification accuracy among other classifiers in less time.

论文关键词：Genetically optimized neural network,Multi-class classification,Multi-tree

论文评审过程：Received 9 April 2015, Revised 7 April 2016, Accepted 28 April 2016, Available online 7 May 2016, Version of Record 16 May 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.04.036