Kernel density estimation of three-parameter Weibull distribution with neural network and genetic algorithm

作者：

Highlights：

• The initial estimations were obtained by the RRM and GM(1, 1).

• The proposed way to deal with the estimation problem was an optimization problem.

• Neural network was adopted as approximate model based on the samples.

• GA was selected for optimization method based on the neural network model.

摘要

•The initial estimations were obtained by the RRM and GM(1, 1).•The proposed way to deal with the estimation problem was an optimization problem.•Neural network was adopted as approximate model based on the samples.•GA was selected for optimization method based on the neural network model.

论文关键词：Neural network model,Genetic algorithm,Weibull distribution,Optimization algorithm,Maximum likelihood method,Grey model

论文评审过程：Available online 6 October 2014.

论文官网地址：https://doi.org/10.1016/j.amc.2014.09.065