Multivariate statistical inference in a radial basis function neural network

作者：

Highlights：

• The contribution is the multivariate statistical analysis in the RBF.

• The multivariate statistical assumptions are fulfilled in the RBF.

• It shows the statistical significance between independent and dependent variables.

• The multivariate statistical analysis based on correlated variables.

• The results evidence that the multivariate statistical analysis is a good method.

摘要

•The contribution is the multivariate statistical analysis in the RBF.•The multivariate statistical assumptions are fulfilled in the RBF.•It shows the statistical significance between independent and dependent variables.•The multivariate statistical analysis based on correlated variables.•The results evidence that the multivariate statistical analysis is a good method.

论文关键词：Radial basis function,Multivariate statistical inference,MANOVA

论文评审过程：Received 26 June 2017, Revised 9 October 2017, Accepted 9 October 2017, Available online 11 October 2017, Version of Record 5 November 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.10.024