Prediction of mechanical properties of ASS 304 in superplastic region using artificial neural networks

Artificial Neural ◽

Artificial Neural Networks for the Prediction of Mechanical Properties of Soils

10.1007/978-3-030-90321-3_62 ◽

2021 ◽

pp. 758-779

Author(s):

Lusdali Castillo Delgado ◽

Daniel Enrique Porta Maldonado ◽

Juan J. Soria ◽

Leopoldo Choque Flores

Keyword(s):

Mechanical Properties ◽

Neural Networks ◽

Artificial Neural ◽

Prediction of mechanical properties of waste polypropylene/waste ground rubber tire powder blends using artificial neural networks

Materials & Design (1980-2015) ◽

10.1016/j.matdes.2010.02.039 ◽

2010 ◽

Vol 31 (8) ◽

pp. 3624-3629 ◽

Cited By ~ 33

Author(s):

Shu Ling Zhang ◽

Zhen Xiu Zhang ◽

Kaushik Pal ◽

Zhen Xiang Xin ◽

Joshua Suh ◽

...

Keyword(s):

Mechanical Properties ◽

Neural Networks ◽

Rubber Tire ◽

Ground Rubber ◽

Powder Blends ◽

Artificial Neural ◽

Prediction Of Mechanical Properties ◽

Waste Polypropylene

Prediction of mechanical properties of polypropylene/waste ground rubber tire powder treated by bitumen composites via uniform design and artificial neural networks

Materials & Design (1980-2015) ◽

10.1016/j.matdes.2009.10.057 ◽

2010 ◽

Vol 31 (4) ◽

pp. 1900-1905 ◽

Cited By ~ 47

Author(s):

Shu Ling Zhang ◽

Zhen Xiu Zhang ◽

Zhen Xiang Xin ◽

Kaushik Pal ◽

Jin Kuk Kim

Keyword(s):

Mechanical Properties ◽

Neural Networks ◽

Uniform Design ◽

Rubber Tire ◽

Ground Rubber ◽

Artificial Neural ◽

Prediction of mechanical properties of PWR vessel steel heads containing residual carbon macrosegregation using Artificial Neural Networks

Journal of Nuclear Materials ◽

10.1016/j.jnucmat.2021.153360 ◽

2021 ◽

pp. 153360

Author(s):

M. Yescas ◽

B. Le Gloannec ◽

F. Roch

Keyword(s):

Mechanical Properties ◽

Neural Networks ◽

Residual Carbon ◽

Vessel Steel ◽

Artificial Neural ◽

PREDICTION OF MECHANICAL PROPERTIES OF CUMIN SEED USING ARTIFICIAL NEURAL NETWORKS

Journal of Texture Studies ◽

10.1111/j.1745-4603.2009.00211.x ◽

2010 ◽

Vol 41 (1) ◽

pp. 34-48 ◽

Cited By ~ 4

Author(s):

M.H. SAIEDIRAD ◽

M. MIRSALEHI

Keyword(s):

Mechanical Properties ◽

Neural Networks ◽

Artificial Neural ◽

Prediction Of Mechanical Properties ◽

Cumin Seed

The publications of the MultiScience - XXXI. MicroCAD International Scientific Conference ◽

Prediction of Mechanical Properties of Aluminum Alloy 7017 Using Artificial Neural Networks

10.26649/musci.2017.089 ◽

2017 ◽

Author(s):

Nikolaos E. Karkalos ◽

Angelos P. Markopoulos

Keyword(s):

Mechanical Properties ◽

Neural Networks ◽

Aluminum Alloy ◽

Artificial Neural ◽

Discussion on: “Prediction of mechanical properties of recycled aggregate concretes containing silica fume using artificial neural networks and fuzzy logic” [Comp. Mater. Sci. 42 (2008) 74]

Computational Materials Science ◽

10.1016/j.commatsci.2008.06.004 ◽

2009 ◽

Vol 44 (3) ◽

pp. 1023-1024 ◽

Cited By ~ 1

Author(s):

Tarkan Erdik

Keyword(s):

Mechanical Properties ◽

Neural Networks ◽

Fuzzy Logic ◽

Silica Fume ◽

Recycled Aggregate ◽

Artificial Neural ◽

Prediction of mechanical properties of superplastic Inconel* 718 using artificial neural networks

Materials Science and Technology ◽

10.1179/026708302225006016 ◽

2002 ◽

Vol 18 (10) ◽

pp. 1104-1108 ◽

Cited By ~ 13

Author(s):

Y. Huang ◽

P. L. Blackwell

Keyword(s):

Mechanical Properties ◽

Neural Networks ◽

Inconel 718 ◽

Artificial Neural ◽

Prediction of mechanical properties of compatibilized styrene/natural-rubber blend by using reaction conditions: Central composite design vs. artificial neural networks

Journal of Applied Polymer Science ◽

10.1002/app.37550 ◽

2012 ◽

Vol 127 (1) ◽

pp. 356-365 ◽

Cited By ~ 10

Author(s):

Natsupa Sresungsuwan ◽

Nanthiya Hansupalak

Keyword(s):

Mechanical Properties ◽

Neural Networks ◽

Natural Rubber ◽

Central Composite Design ◽

Reaction Conditions ◽

Rubber Blend ◽

Artificial Neural ◽

Prediction Of Mechanical Properties ◽

Central Composite

Prediction of mechanical properties of recycled aggregate concretes containing silica fume using artificial neural networks and fuzzy logic

Computational Materials Science ◽

10.1016/j.commatsci.2007.06.011 ◽

2008 ◽

Vol 42 (1) ◽

pp. 74-82 ◽

Cited By ~ 100

Author(s):

İlker Bekir Topçu ◽

Mustafa Sarıdemir

Keyword(s):

Mechanical Properties ◽

Neural Networks ◽

Fuzzy Logic ◽

Silica Fume ◽

Recycled Aggregate ◽

Artificial Neural ◽