Optimizing the artificial neural network parameters using a biased random key genetic algorithm for time series forecasting

标题
Optimizing the artificial neural network parameters using a biased random key genetic algorithm for time series forecasting
作者
关键词
Forecasting, Biased random key genetic algorithms, Artificial Neural Network optimization, Time series
出版物
APPLIED SOFT COMPUTING
Volume 102, Issue -, Pages 107091
出版商
Elsevier BV
发表日期
2021-01-15
DOI
10.1016/j.asoc.2021.107091

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started