Predicting the effect of cooling rate on the mechanical properties of glass fiber–polypropylene composites using artificial neural networks

标题
Predicting the effect of cooling rate on the mechanical properties of glass fiber–polypropylene composites using artificial neural networks
作者
关键词
-
出版物
JOURNAL OF THERMOPLASTIC COMPOSITE MATERIALS
Volume -, Issue -, Pages 089270571879235
出版商
SAGE Publications
发表日期
2018-08-13
DOI
10.1177/0892705718792351

向作者/读者发起求助以获取更多资源

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

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