Retraction Note to: Analysis of influential factors for predicting the shear strength of a V-shaped angle shear connector in composite beams using an adaptive neuro-fuzzy technique

被引：0

作者：

I. Mansouri

M. Shariati

M. Safa

Z. Ibrahim

M. M. Tahir

D. Petković

机构：

[1] Birjand University of Technology,Department of Civil Engineering

[2] University of Malaya,Department of Civil Engineering

[3] UTM,UTM CRC, Institute for Smart Infrastructure and Innovative Construction

[4] University of Niš,undefined

[5] Pedagogical Faculty in Vranje,undefined

来源：

Journal of Intelligent Manufacturing | 2020年 / 31卷

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

The Editor-in-Chief has retracted this article [1] because validity of the content of this article cannot be verified.

引用

页码：267 / 267

共 19 条

[1] RETRACTED ARTICLE: Analysis of influential factors for predicting the shear strength of a V-shaped angle shear connector in composite beams using an adaptive neuro-fuzzy technique
I. Mansouri
M. Shariati
M. Safa
Z. Ibrahim
M. M. Tahir
D. Petković
Journal of Intelligent Manufacturing, 2019, 30 : 1247 - 1257
[2] RETRACTION: Analysis of influential factors for predicting the shear strength of a V-shaped angle shear connector in composite beams using an adaptive neuro-fuzzy technique (Retraction of Vol 30, Pg 1247, 2019)
Mansouri, I.
Shariati, M.
Safa, M.
Ibrahim, Z.
Tahir, M. M.
Petkovic, D.
JOURNAL OF INTELLIGENT MANUFACTURING, 2020, 31 (01) : 267 - 267
[3] RETRACTED: Analysis of influential factors for predicting the shear strength of a V-shaped angle shear connector in composite beams using an adaptive neuro-fuzzy technique (Retracted article. See vol. 31, pg. 267, 2020)
Mansouri, I.
Shariati, M.
Safa, M.
Ibrahim, Z.
Tahir, M. M.
Petkovic, D.
JOURNAL OF INTELLIGENT MANUFACTURING, 2019, 30 (03) : 1247 - 1257
[4] Shear strength prediction of RC beams using adaptive neuro-fuzzy inference system
Naderpour, H.
Mirrashid, M.
SCIENTIA IRANICA, 2020, 27 (02) : 657 - 670
[5] Retraction Note: Determination of the most influential factors for number of patents prediction by adaptive neuro-fuzzy technique
Miloš Milovančević
Dušan Marković
Vlastimir Nikolić
Igor Mladenović
Quality & Quantity, 2019, 53 (6) : 3161 - 3161
[6] Using adaptive neuro-fuzzy inference system for modeling unsaturated soils shear strength
Mehdi Hashemi Jokar
Sohrab Mirasi
Soft Computing, 2018, 22 : 4493 - 4510
[7] Using adaptive neuro-fuzzy inference system for modeling unsaturated soils shear strength
Jokar, Mehdi Hashemi
Mirasi, Sohrab
SOFT COMPUTING, 2018, 22 (13) : 4493 - 4510
[8] Prediction of shear strength of reinforced concrete beams using adaptive neuro-fuzzy inference system and artificial neural network
Amani, J.
Moeini, R.
SCIENTIA IRANICA, 2012, 19 (02) : 242 - 248
[9] Analysis of the Laser Forming of Shaped Surfaces Using the Adaptive Neuro-fuzzy Technique
Jovic, S.
Skulic, A.
Lazarevic, M.
LASERS IN ENGINEERING, 2018, 40 (4-6) : 333 - 340
[10] Analysis of the laser forming of shaped surfaces using the adaptive neuro-fuzzy technique
Jovic, S. (srdjanjovic2016@hotmail.com), 2018, Old City Publishing (40) : 4 - 6

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