RETRACTION: Artificial neural networks application to predict the compressive damage of lightweight geopolymer (Retraction of Vol 23, Pg 507, 2013)

被引：1

作者：

Nazari, Ali ^{[1
]}

机构：

[1] Islamic Azad Univ, Saveh Branch, Dept Mat Sci & Engn, Saveh, Iran

来源：

NEURAL COMPUTING & APPLICATIONS | 2021年 / 33卷 / 18期

关键词：

STRENGTH;

D O I：

10.1007/s00521-020-05660-6

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The Editor-in-Chief has retracted this article [1] because it significantly overlaps with a large number of articles that were under consideration at the same time, including [2, 3], and previously published articles, including [4, 5, 6].

引用

页码：12239 / 12239

页数：1

共 50 条

[1] Retraction Note to: Artificial neural networks application to predict the compressive damage of lightweight geopolymer
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[2] RETRACTION: Application of gene expression programming to predict the compressive damage of lightweight aluminosilicate geopolymer (Retraction of Vol 31, Pg S 767, 2019)
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[3] RETRACTED ARTICLE: Artificial neural networks application to predict the compressive damage of lightweight geopolymer
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[5] RETRACTED: Artificial neural networks application to predict the compressive damage of lightweight geopolymer (Retracted Article)
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[6] Retraction Note to: Application of gene expression programming to predict the compressive damage of lightweight aluminosilicate geopolymer
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[7] RETRACTION: Fuzzy logic-based prediction of compressive strength of lightweight geopolymers (Retraction of Vol 23, Pg 865, 2013)
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[9] RETRACTION: Microhardness profile prediction of functionally graded steels by artificial neural networks (Retraction of Vol 22, Pg 17, 2013)
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[10] RETRACTION: Application of artificial neural networks for analytical modeling of Charpy impact energy of functionally graded steels (Retraction of Vol 22, Pg 731, 2013)
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