Application of artificial neural network optimization for resilient ceramic parts fabricated by direct ink writing-Reference-Cited by-同舟云学术

Application of artificial neural network optimization for resilient ceramic parts fabricated by direct ink writing

Published:2019-09-30 Issue:1 Volume:17 Page:217-226
ISSN:1546-542X
Container-title:International Journal of Applied Ceramic Technology
language:en
Short-container-title:Int J Appl Ceram Technol

Author:

Fan Yunhao¹,Feng Bo¹,Yang Liangliang¹,Zhang Yue¹^ORCID

Affiliation:

1. Key Laboratory of Aerospace Materials and Performance (Ministry of Education) School of Materials Science and Engineering Beihang University Beijing China

Publisher

Wiley

Subject

Materials Chemistry,Marketing,Condensed Matter Physics,Ceramics and Composites

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ijac.13394

Reference28 articles.

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