Compressive behavior of hybrid steel-polyvinyl alcohol fiber-reinforced concrete containing fly ash and slag powder: experiments and an artificial neural network model

Fly Ash ◽

Polyvinyl Alcohol ◽

Neural Network Model ◽

Fiber Reinforced Concrete ◽

Compressive Behavior ◽

Polyvinyl Alcohol Fiber ◽

Slag Powder

An artificial neural network model on tensile behavior of hybrid steel-PVA fiber reinforced concrete containing fly ash and slag power

Frontiers of Structural and Civil Engineering ◽

10.1007/s11709-020-0712-6 ◽

2021 ◽

Author(s):

Fangyu Liu ◽

Wenqi Ding ◽

Yafei Qiao ◽

Linbing Wang

Keyword(s):

Neural Network ◽

Reinforced Concrete ◽

Fly Ash ◽

Network Model ◽

Neural Network Model ◽

Tensile Behavior ◽

Fiber Reinforced Concrete ◽

Pva Fiber

Presumption of shear strength of steel fiber reinforced concrete beam using artificial neural network model

Journal of Applied Polymer Science ◽

10.1002/app.25121 ◽

2006 ◽

Vol 103 (4) ◽

pp. 2351-2358 ◽

Cited By ~ 14

Author(s):

Namshik Ahn ◽

Hwasup Jang ◽

Do Kyong Park

Keyword(s):

Neural Network ◽

Shear Strength ◽

Neural Network Model ◽

Concrete Beam ◽

Steel Fiber ◽

Reinforced Concrete Beam ◽

Fiber Reinforced Concrete ◽

Steel Fiber Reinforced Concrete

International Journal of Materials Research (formerly Zeitschrift fuer Metallkunde) ◽

Comparing predictions from constitutive equations and artificial neural network model of compressive behavior in carbon nanotube–aluminum reinforced ZA27 composites

10.3139/146.111388 ◽

2016 ◽

Vol 107 (7) ◽

pp. 659-667

Author(s):

Yang Liu ◽

Yunke Zhu ◽

Cong Geng ◽

Junrui Xu

Keyword(s):

Neural Network ◽

Carbon Nanotube ◽

Network Model ◽

Neural Network Model ◽

Constitutive Equations ◽

Compressive Behavior ◽

A GIS-Based Artificial Neural Network Model to Assess Building Location Potential to Harvest Solar Energy

Construction Research Congress 2020 ◽

10.1061/9780784482858.069 ◽

2020 ◽

Author(s):

M. Ammar Alzarrad ◽

Muhammad T. Hatamleh

Keyword(s):

Neural Network ◽

Solar Energy ◽

Network Model ◽

Neural Network Model ◽

Artificial Neural Network Model for Prediction of Latent Heat Flux over Bay of Bengal

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v7i5.901905 ◽

2019 ◽

Vol 7 (5) ◽

pp. 901-905

Author(s):

Kanchan. V. Shende ◽

Vishal S. Shirsat ◽

M. R. Ramesh Kumar ◽

K.V. Kale

Keyword(s):

Neural Network ◽

Heat Flux ◽

Latent Heat ◽

Latent Heat Flux ◽

Network Model ◽

Neural Network Model ◽

Bay Of Bengal ◽

An Artificial Neural Network Model for Evaluating Workers' Performance at Tollbooths

SSRN Electronic Journal ◽

10.2139/ssrn.962730 ◽

2006 ◽

Cited By ~ 4

Author(s):

Marcelo Leismann de Oliveira ◽

Helena Beatriz Bettella Cybis

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Assessment of Apple Quality based on scaled conjugate gradient technique, using Artificial Neural Network model

International Journal of Digital Contents and Applications for Smart Devices ◽

10.21742/ijdcasd.2014.1.1.01 ◽

2014 ◽

Vol 1 (1) ◽

pp. 1-10

Author(s):

Ashutosh Kumar Bhatt ◽

◽

KunwarS ingh Vaisla ◽

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Conjugate Gradient ◽

Scaled Conjugate Gradient ◽

Gradient Technique ◽

Artificial Neural ◽

Apple Quality

A feedforward artificial neural network model for classification and detection of type 2 diabetes

Journal of Physics Conference Series ◽

10.1088/1742-6596/1734/1/012026 ◽

2021 ◽

Vol 1734 ◽

pp. 012026

Author(s):

Enoch A. Frimpong ◽

Ariyo Oluwasanmi ◽

Edward Y. Baagyere ◽

Qin Zhiguang

Keyword(s):

Neural Network ◽

Type 2 Diabetes ◽

Network Model ◽

Neural Network Model ◽

Risk prediction of pleural effusion in lung malignancy patients treated with CT-guided percutaneous microwave ablation: a nomogram and artificial neural network model

International Journal of Hyperthermia ◽

10.1080/02656736.2021.1885755 ◽

2021 ◽

Vol 38 (1) ◽

pp. 220-228

Author(s):

Sheng Xu ◽

Jing Qi ◽

Bin Li ◽

Zhi-Xin Bie ◽

Yuan-Ming Li ◽

...

Keyword(s):

Neural Network ◽

Pleural Effusion ◽

Network Model ◽

Neural Network Model ◽

Microwave Ablation ◽

Ct Guided ◽

Lung Malignancy ◽

Percutaneous Microwave Ablation

Optimization of 3D printing process parameters to minimize surface roughness with hybrid artificial neural network model and particle swarm algorithm

Progress in Additive Manufacturing ◽

10.1007/s40964-021-00166-6 ◽

2021 ◽

Author(s):

Mohammad Shirmohammadi ◽

Saeid Jafarzadeh Goushchi ◽

Peyman Mashhadi Keshtiban

Keyword(s):

Neural Network ◽

Surface Roughness ◽

3D Printing ◽

Network Model ◽

Process Parameters ◽

Neural Network Model ◽

Particle Swarm Algorithm ◽

Hybrid Artificial Neural Network