Training set fuzzification based on histogram to increase the performance of a neural network

作者：

Highlights：

• Optimization of a training set - fuzzification of the output vectors.

• A significantly lower prediction error - the proposed improvements increase the performance of neural networks.

• A neural network can work with data sets with varying scalable values.

摘要

Optimization of a training set - fuzzification of the output vectors.•A significantly lower prediction error - the proposed improvements increase the performance of neural networks.•A neural network can work with data sets with varying scalable values.

论文关键词：Artificial neural network,Histogram,Fuzzification,Predictions of sales

论文评审过程：Received 3 February 2020, Revised 19 October 2020, Accepted 5 January 2021, Available online 27 January 2021, Version of Record 27 January 2021.

论文官网地址：https://doi.org/10.1016/j.amc.2021.125994