Optimisation of turning parameters by integrating genetic algorithm with support vector regression and artificial neural networks

标题
Optimisation of turning parameters by integrating genetic algorithm with support vector regression and artificial neural networks
作者
关键词
Turning operation, Predictive modelling, Support vector regression, Artificial neural networks, Genetic algorithm, Optimising process, Surface roughness, Tool wear
出版物
出版商
Springer Nature
发表日期
2014-10-15
DOI
10.1007/s00170-014-6282-9

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now

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