BACK PROPAGATION ARTIFICIAL NEURAL NETWORK MODELING OF FLEXURAL AND COMPRESSIVE STRENGTH OF CONCRETE REINFORCED WITH POLYPROPYLENE FIBERS

Compressive Strength ◽

Network Modeling ◽

Back Propagation ◽

Neural Network Modeling ◽

Polypropylene Fibers ◽

Compressive Strength Of Concrete ◽

Artificial neural network modeling for the effect of fly ash fineness on compressive strength

Arabian Journal of Geosciences ◽

10.1007/s12517-021-09120-w ◽

2021 ◽

Vol 14 (23) ◽

Author(s):

Demet Demir Sahin ◽

Esme Isik ◽

Ibrahim Isik ◽

Mustafa Cullu

Keyword(s):

Neural Network ◽

Compressive Strength ◽

Fly Ash ◽

Network Modeling ◽

Neural Network Modeling ◽

2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM) ◽

Feed Forward Back Propagation Artificial Neural Network Modeling of Compressive Strength of Self-Compacting Concrete

10.1109/hnicem.2018.8666407 ◽

2018 ◽

Author(s):

Clemente Stephen John C. ◽

Ventanilla Mary Grace M. ◽

Dadios Elmer P. ◽

Oreta Andres Winston C

Keyword(s):

Neural Network ◽

Compressive Strength ◽

Network Modeling ◽

Back Propagation ◽

Neural Network Modeling ◽

Self Compacting Concrete ◽

Feed Forward ◽

Feed Forward Back Propagation

Prediction of Drug Lipophilicity using Back Propagation Artificial Neural Network Modeling

Oriental Journal Of Chemistry ◽

10.13005/ojc/300253 ◽

2014 ◽

Vol 30 (2) ◽

pp. 793-802 ◽

Cited By ~ 4

Author(s):

Saadi Saaidpour

Keyword(s):

Neural Network ◽

Network Modeling ◽

Back Propagation ◽

Neural Network Modeling ◽

Operational parameter impact and back propagation artificial neural network modeling for phosphate adsorption onto acid-activated neutralized red mud

Journal of Molecular Liquids ◽

10.1016/j.molliq.2016.01.020 ◽

2016 ◽

Vol 216 ◽

pp. 35-41 ◽

Cited By ~ 20

Author(s):

Jie Ye ◽

Xiangna Cong ◽

Panyue Zhang ◽

Guangming Zeng ◽

Erhard Hoffmann ◽

...

Keyword(s):

Neural Network ◽

Red Mud ◽

Network Modeling ◽

Back Propagation ◽

Phosphate Adsorption ◽

Neural Network Modeling ◽

Operational Parameter ◽

Ultrasound-activated peroxydisulfate process with copper film to remove bisphenol A: Operational parameter impact and back propagation-artificial neural network modeling

Journal of Water Process Engineering ◽

10.1016/j.jwpe.2021.102326 ◽

2021 ◽

Vol 44 ◽

pp. 102326

Author(s):

Jae-Hun Chu ◽

Jin-Kyu Kang ◽

Seong-Jik Park ◽

Chang-Gu Lee

Keyword(s):

Neural Network ◽

Bisphenol A ◽

Network Modeling ◽

Back Propagation ◽

Copper Film ◽

Neural Network Modeling ◽

Operational Parameter ◽

Artificial Neural Network Modeling of Pavement Performance using Expert Judgement

Road Materials and Pavement Design ◽

10.3166/rmpd.3.373-384 ◽

2002 ◽

Vol 3 (4) ◽

pp. 373-384

Author(s):

Medhi Parvani

Keyword(s):

Neural Network ◽

Network Modeling ◽

Pavement Performance ◽

Expert Judgement ◽

Neural Network Modeling ◽

Artificial Neural Network Modeling of Phytoestrogen Binding to Estrogen Receptors

Letters in Drug Design & Discovery ◽

10.2174/157018006778194871 ◽

2006 ◽

Vol 3 (7) ◽

pp. 436-442 ◽

Cited By ~ 4

Author(s):

S. Agatonovic-Kustrin ◽

J. Turner

Keyword(s):

Neural Network ◽

Estrogen Receptors ◽

Network Modeling ◽

Neural Network Modeling ◽

Innovations in Corrosion and Materials Science (Formerly Recent Patents on Corrosion Science) ◽

An Artificial Neural Network Modeling to Study Unpredictable Degradation of Carbon Steel Marine Structure with Environmental Variables: Chloride, Sulphate, Bicarbonates, pH

10.2174/2352094904999141202103233 ◽

2015 ◽

Vol 4 (2) ◽

pp. 127-133

Author(s):

Subir Paul ◽

Sujit K Guchhait ◽

Kamal Goswami

Keyword(s):

Neural Network ◽

Carbon Steel ◽

Environmental Variables ◽

Network Modeling ◽

Neural Network Modeling ◽

Marine Structure ◽

Porosity Estimation of Mesoporous TiO 2 ‐ZnO Nanocrystalline by Artificial Neural Network Modeling

Chemical Engineering & Technology ◽

10.1002/ceat.202000297 ◽

2021 ◽

Author(s):

Soroush Soltani ◽

Taha Roodbar Shojaei ◽

Nasrin Khanian ◽

Thomas Shean Yaw Choong ◽

Nilofar Asim ◽

...

Keyword(s):

Neural Network ◽

Network Modeling ◽

Neural Network Modeling ◽

Artificial Neural ◽

Porosity Estimation

Numerical and artificial neural network modeling study on the first-law and second-law performance of a novel helical heat sink filled with water–silver nanofluid

Journal of Thermal Analysis and Calorimetry ◽

10.1007/s10973-021-10697-3 ◽

2021 ◽

Author(s):

Mohammad Reza Salehfekr Arabani ◽

Nader Pourmahmoud ◽

Iraj Mirzaii

Keyword(s):

Neural Network ◽

Heat Sink ◽

Network Modeling ◽

Neural Network Modeling ◽

Second Law ◽

Artificial Neural ◽

Modeling Study