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

Natural Rubber ◽

Reaction Conditions ◽

Rubber Blend ◽

Artificial Neural ◽

Prediction Of Mechanical Properties ◽

Central Composite

Prediction of styrene conversion of polystyrene/natural rubber graft copolymerization using reaction conditions: Central composite design versus artificial neural networks

Journal of Applied Polymer Science ◽

10.1002/app.38148 ◽

2012 ◽

Vol 128 (4) ◽

pp. 2283-2290 ◽

Cited By ~ 2

Author(s):

Kittima Aroonsingkarat ◽

Nanthiya Hansupalak

Keyword(s):

Neural Networks ◽

Natural Rubber ◽

Graft Copolymerization ◽

Reaction Conditions ◽

Artificial Neural ◽

Central Composite ◽

Styrene Conversion

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

Systematic development of pH-independent controlled release tablets of carvedilol using central composite design and artificial neural networks

Drug Development and Industrial Pharmacy ◽

10.3109/03639045.2012.705291 ◽

2012 ◽

Vol 39 (8) ◽

pp. 1207-1216 ◽

Cited By ~ 4

Author(s):

Elcin Aktas ◽

Hakan Eroglu ◽

Umit Kockan ◽

Levent Oner

Keyword(s):

Neural Networks ◽

Controlled Release ◽

Systematic Development ◽

Artificial Neural ◽

Central Composite ◽

Controlled Release Tablets

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 ◽

Optimization of Tartrazine Adsorption onto Polypyrrole/SrFe12O19/Graphene Oxide Nanocomposite Using Central Composite Design and Bat Inspired Algorithm with the Aid of Artificial Neural Networks

Fibers and Polymers ◽

10.1007/s12221-021-8163-9 ◽

2021 ◽

Vol 22 (1) ◽

pp. 159-170

Author(s):

Sodabeh Ebrahimpoor ◽

Vahid Kiarostami ◽

Morteza Khosravi ◽

Mehran Davallo ◽

Abdolmohammad Ghaedi

Keyword(s):

Neural Networks ◽

Graphene Oxide ◽

Artificial Neural ◽

Central Composite