Application of a two-stage fuzzy neural network to a prostate cancer prognosis system

作者：

Highlights：

• Propose a two-stage fuzzy neural network (FNN) for prediction.

• The results for three benchmark functions show that the proposed FNN has better performance.

• The proposed algorithm is applied to prostate cancer prognosis.

摘要

•Propose a two-stage fuzzy neural network (FNN) for prediction.•The results for three benchmark functions show that the proposed FNN has better performance.•The proposed algorithm is applied to prostate cancer prognosis.

论文关键词：Optimization version of an artificial immune network,Particle swarm optimization algorithm,Fuzzy neural network,Prostate cancer,Prognosis

论文评审过程：Received 2 February 2014, Revised 13 December 2014, Accepted 20 December 2014, Available online 29 December 2014.

论文官网地址：https://doi.org/10.1016/j.artmed.2014.12.008