Modeling of Compressive Strength for Self-Consolidating High-Strength Concrete Incorporating Palm Oil Fuel Ash

Anisotropic masonry failure criterion using artificial neural networks

(2016) Panagiotis G. Asteris et al.   NEURAL COMPUTING & APPLICATIONS

Prediction of the shear strength of reinforced masonry walls using a large experimental database and artificial neural networks

(2016) Víctor Aguilar et al.   Structure and Infrastructure Engineering

Prediction of the Fundamental Period of Infilled RC Frame Structures Using Artificial Neural Networks

(2016) Panagiotis G. Asteris et al.   Computational Intelligence and Neuroscience

Feasibility Studies of Palm Oil Mill Waste Aggregates for the Construction Industry

(2015) Jegathish Kanadasan et al.   Materials

Utilization of Palm Oil Clinker as Cement Replacement Material

(2015) Jegathish Kanadasan et al.   Materials

Influence of Molarity and Chemical Composition on the Development of Compressive Strength in POFA Based Geopolymer Mortar

(2015) S. M. Alamgir Kabir et al.   Advances in Materials Science and Engineering

Modeling of masonry failure surface under biaxial compressive stress using Neural Networks

(2014) Vagelis Plevris et al.   CONSTRUCTION AND BUILDING MATERIALS

Compressive strength and microstructural analysis of fly ash/palm oil fuel ash based geopolymer mortar

(2014) Navid Ranjbar et al.   MATERIALS & DESIGN

On the Utilization of Pozzolanic Wastes as an Alternative Resource of Cement

(2014) Md. Karim et al.   Materials

Estimation of the axial behaviour of masonry walls based on Artificial Neural Networks

(2013) Julio Garzón-Roca et al.   COMPUTERS & STRUCTURES

Prediction of lightweight concrete strength by categorized regression, MLR and ANN

(2013) S. Tavakkol et al.   Computers and Concrete

UTILIZATION OF PALM OIL FUEL ASH IN CONCRETE: A REVIEW / PALMI ALIEJAUS KURO PELENŲ NAUDOJIMAS BETONE. APŽVALGA

(2013) Md. Safiuddin et al.   Journal of Civil Engineering and Management

Compressive strength of masonry made of clay bricks and cement mortar: Estimation based on Neural Networks and Fuzzy Logic

(2012) Julio Garzón-Roca et al.   ENGINEERING STRUCTURES

Perceptron Learning in Engineering Design

(2010) H. ADELI et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Compressive Strength and Heat Evolution of Concretes Containing Palm Oil Fuel Ash

(2010) Vanchai Sata et al.   JOURNAL OF MATERIALS IN CIVIL ENGINEERING

Neural networks modeling of shear strength of SFRC corbels without stirrups

(2009) Shailendra Kumar et al.   APPLIED SOFT COMPUTING

Artificial neural network model for steel–concrete bond prediction

(2009) Zohra Dahou et al.   ENGINEERING STRUCTURES

Analysis of durability of high performance concrete using artificial neural networks

(2008) R. Parichatprecha et al.   CONSTRUCTION AND BUILDING MATERIALS

Artificial neural network for prediction and control of blasting vibrations in Assiut (Egypt) limestone quarry

(2008) Mostafa Tantawy Mohamed   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic

(2007) İlker Bekir Topçu et al.   COMPUTATIONAL MATERIALS SCIENCE

Prediction of rubberized concrete properties using artificial neural network and fuzzy logic

(2007) İlker Bekir Topçu et al.   CONSTRUCTION AND BUILDING MATERIALS