Develop 24 dissimilar ANNs by suitable architectures & training algorithms via sensitivity analysis to better statistical presentation: Measure MSEs between targets & ANN for Fe–CuO/Eg

Develop 24 dissimilar ANNs by suitable architectures & training algorithms via sensitivity analysis to better statistical presentation: Measure MSEs between targets & ANN for Fe–CuO/Eg–Water nanofluid

Published:2019-04 Issue: Volume:519 Page:159-168
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Bahrami Mehrdad,Akbari Mohammad,Bagherzadeh Seyed Amin,Karimipour Arash,Afrand Masoud,Goodarzi Marjan

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistics and Probability

Reference66 articles.

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