Experimental Investigation and Development of Artificial Neural Network Model for the Properties of Locally Produced Light Weight Aggregate Concrete

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Engineering

ISSN Print: 1947-3931
ISSN Online: 1947-394X
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"Experimental Investigation and Development of Artificial Neural Network Model for the Properties of Locally Produced Light Weight Aggregate Concrete"
written by Mostafa A. M. Abdeen, Hossam Hodhod,
published by Engineering, Vol.2 No.6, 2010

has been cited by the following article(s):

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[1]	Influence of Lightweight Aggregates and Supplementary Cementitious Materials on the Properties of Lightweight Aggregate Concretes
	Iranian Journal of Science and Technology …, 2022

[2]	Experimental Investigation and Prediction of the Permanent Deformation of Crushed Waste Rock Using an Artificial Neural Network Model
	International Journal of Geomechanics, 2022

[3]	Enhancement the properties of lightweight concrete mortars by some additive materials
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[4]	Exposición a fuego y caracterización de revestimientos de yeso convencionales y revestimientos de yeso desarrollados con residuos
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[6]	Ultrasonic and artificial intelligence approach: Elastic behavior on the influences of ZnO in tellurite glass systems
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[7]	High Strength Lightweight Foam Concrete
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[8]	Simulation of Early and Late Compressive Strength of Nano-Silica Concrete
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[9]	Effect of incorporation of raw vermiculite as partial sand replacement on the properties of self-compacting mortars at elevated temperature
	2019

[10]	Lightweight expanded clay aggregate as a building material–An overview
	Construction and Building Materials, 2018

[11]	PREDICTION OF SLUMP AND DENSITY OF LIGHTWEIGHT CONCRETES USING ANFIS AND LINEAR REGRESSION
	International Journal of Civil Engineering and Technology, 2017

[12]	Comparison of Data Mining Techniques for Predicting Compressive Strength of Environmentally Friendly Concrete
	2016

[13]	Vermiculite as a construction material–A short guide for Civil Engineer
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[14]	Application of Data Mining and Big Data Analytics in the Construction Industry
	Dissertation, Ohio State University, 2016

[15]	Prediction of Compressive Strength of “Green” Concrete Using Artificial Neural Networks
	BA Omran, Q Chen, R Jin - ascpro.ascweb.org, 2014

[16]	A new algorithm of neural internal model controller using variable learning rate
	A ERRACHDI, M BENREJEB - naun.org, 2014

[17]	Prediction of Compressive Strength of 'Green'Concrete Using Artificial Neural Networks
	2014

[18]	Adaptive Internal Model Neural Networks Control for Nonlinear System
	A ERRACHDI, M BENREJEB - europment.org, 2013

[19]	Analysis of Simply Supported Thin FGM Rectangular Plate Resting on Fluid Layer
	Arabian Journal for Science and Engineering, 2013

[20]	MHD Stability of Streaming Jet Using Artificial Intelligence Technique
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[21]	PARAMETRIC ANALYSIS OF BEAM RESTING ON ELASTIC FOUNDATION (ANN)
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[22]	Numerical Simulation and Prediction for Steep Water Gravity Waves of Arbitrary Uniform Depth using Artificial Neural Network
	International Journal of Engineering ( …, 2011

[23]	Adaptive Direct Inverse Neural Network Control for Nonlinear System
	IJCSES, 2011

[24]	Structural investigation and simulation of acoustic properties of some tellurite glasses using artificial intelligence technique
	Journal of Alloys and Compounds, Elsevier, 2011

[1]	Distribution and transport of contaminants in soil through mining processes and its environmental impact and health hazard assessment: A review of the prospective solutions Environmental Research, 2024 DOI:10.1016/j.envres.2023.117473

[2]	Influence of Lightweight Aggregates and Supplementary Cementitious Materials on the Properties of Lightweight Aggregate Concretes Iranian Journal of Science and Technology, Transactions of Civil Engineering, 2023 DOI:10.1007/s40996-022-00935-5

[3]	Enhancement the properties of lightweight concrete mortars by some additive materials Journal of Physics: Conference Series, 2022 DOI:10.1088/1742-6596/2315/1/012005

[4]	Influence of Lightweight Aggregates and Supplementary Cementitious Materials on the Properties of Lightweight Aggregate Concretes Iranian Journal of Science and Technology, Transactions of Civil Engineering, 2022 DOI:10.1007/s40996-022-00935-5

[5]	BINDING COMPOSITIONS USING VERMICULITE FOR HEAT PROTECTIVE SOLUTIONS Bulletin of Belgorod State Technological University named after. V. G. Shukhov, 2022 DOI:10.34031/2071-7318-2022-8-2-8-19

[6]	Experimental Investigation and Prediction of the Permanent Deformation of Crushed Waste Rock Using an Artificial Neural Network Model International Journal of Geomechanics, 2022 DOI:10.1061/(ASCE)GM.1943-5622.0002363

[7]	High Strength Lightweight Foam Concrete IOP Conference Series: Materials Science and Engineering, 2020 DOI:10.1088/1757-899X/1006/1/012013

[8]	Effect of incorporation of raw vermiculite as partial sand replacement on the properties of self-compacting mortars at elevated temperature Construction and Building Materials, 2019 DOI:10.1016/j.conbuildmat.2019.06.077

[9]	Lightweight expanded clay aggregate as a building material – An overview Construction and Building Materials, 2018 DOI:10.1016/j.conbuildmat.2018.03.009

[10]	Comparison of Data Mining Techniques for Predicting Compressive Strength of Environmentally Friendly Concrete Journal of Computing in Civil Engineering, 2016 DOI:10.1061/(ASCE)CP.1943-5487.0000596

[11]	Vermiculite as a construction material – A short guide for Civil Engineer Construction and Building Materials, 2016 DOI:10.1016/j.conbuildmat.2016.08.019

[12]	Simulation and prediction for energy dissipaters and stilling basins design using artificial intelligence technique Cogent Engineering, 2015 DOI:10.1080/23311916.2015.1018705

[13]	Analysis of Simply Supported Thin FGM Rectangular Plate Resting on Fluid Layer Arabian Journal for Science and Engineering, 2013 DOI:10.1007/s13369-013-0663-5

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