A general regression neural network approach for the evaluation of compressive strength of FDM prototypes
出版年份 2014 全文链接
标题
A general regression neural network approach for the evaluation of compressive strength of FDM prototypes
作者
关键词
Fused deposition modelling (FDM), General regression neural network (GRNN), Multi-gene genetic programming (MGGP), Rapid prototyping (RP)
出版物
NEURAL COMPUTING & APPLICATIONS
Volume 26, Issue 5, Pages 1129-1136
出版商
Springer Nature
发表日期
2014-12-19
DOI
10.1007/s00521-014-1788-5
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