The methods of extracting the contribution of variables in artificial neural network models – Comparison of inherent instability

标题
The methods of extracting the contribution of variables in artificial neural network models – Comparison of inherent instability
作者
关键词
Artificial neural network, Variables contribution’s methods, Relative importance analysis, Sensitivity analysis
出版物
COMPUTERS AND ELECTRONICS IN AGRICULTURE
Volume 127, Issue -, Pages 141-146
出版商
Elsevier BV
发表日期
2016-06-17
DOI
10.1016/j.compag.2016.06.010

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More