Keyword Index

A

  • Active seismic zone region Seismic Analysis and Design of a Multi-Storey Building Located in Haql City, KSA [Volume 1, Issue 2, 2017, Pages 35-51]
  • Adhesion forces Advanced ANN Prediction of Moisture Damage in CNT Modified Asphalt Binder [Volume 1, Issue 1, 2017, Pages 1-11]
  • ANFIS Comparison Study of Soft Computing Approaches for Estimation of the Non-Ductile RC Joint Shear Strength [Volume 1, Issue 1, 2017, Pages 12-28]
  • ANSYS 15 Optimisation of Recycled Thermoplastic Plate (Tile) [Volume 1, Issue 2, 2017, Pages 19-34]
  • Artificial Neural Network Advanced ANN Prediction of Moisture Damage in CNT Modified Asphalt Binder [Volume 1, Issue 1, 2017, Pages 1-11]
  • Artificial Neural Network The Application of Particle Swarm Optimization and Artificial Neural Networks to Estimating the Strength of Reinforced Concrete Flexural Members [Volume 1, Issue 2, 2017, Pages 1-7]
  • Artificial Neural Networks Capacity Prediction of RC Beams Strengthened with FRP by Artificial Neural Networks Based on Genetic Algorithm [Volume 1, Issue 1, 2017, Pages 93-98]
  • Artificial Neural Networks Artificial Neural Networks for Construction Management: A Review [Volume 1, Issue 2, 2017, Pages 70-88]
  • Atomic force microscopy Advanced ANN Prediction of Moisture Damage in CNT Modified Asphalt Binder [Volume 1, Issue 1, 2017, Pages 1-11]

B

  • Backpropagation neural network Using of Backpropagation Neural Network in Estimation of Compressive Strength of Waste Concrete [Volume 1, Issue 1, 2017, Pages 54-64]
  • Bed load No-Deposition Sediment Transport in Sewers Using Gene Expression Programming [Volume 1, Issue 1, 2017, Pages 29-53]
  • Big Data Predicting Budget from Transportation Research Grant Description: An Exploratory Analysis of Text Mining and Machine Learning Techniques [Volume 1, Issue 2, 2017, Pages 89-102]

C

  • Compressive strength Using of Backpropagation Neural Network in Estimation of Compressive Strength of Waste Concrete [Volume 1, Issue 1, 2017, Pages 54-64]
  • Concrete Using of Backpropagation Neural Network in Estimation of Compressive Strength of Waste Concrete [Volume 1, Issue 1, 2017, Pages 54-64]
  • Construction management Artificial Neural Networks for Construction Management: A Review [Volume 1, Issue 2, 2017, Pages 70-88]

D

  • Damage model Advanced ANN Prediction of Moisture Damage in CNT Modified Asphalt Binder [Volume 1, Issue 1, 2017, Pages 1-11]
  • Deep Learning Predicting Budget from Transportation Research Grant Description: An Exploratory Analysis of Text Mining and Machine Learning Techniques [Volume 1, Issue 2, 2017, Pages 89-102]
  • Diamond wire saw Development of Intelligent Systems to Predict Diamond Wire Saw Performance [Volume 1, Issue 2, 2017, Pages 52-69]
  • Direct rating A Method for Constructing Non-Isosceles Triangular Fuzzy Numbers Using Frequency Histogram and Statistical Parameters [Volume 1, Issue 1, 2017, Pages 65-85]

E

  • Equivalent static method Seismic Analysis and Design of a Multi-Storey Building Located in Haql City, KSA [Volume 1, Issue 2, 2017, Pages 35-51]

F

  • Finite Element (FE) Optimisation of Recycled Thermoplastic Plate (Tile) [Volume 1, Issue 2, 2017, Pages 19-34]
  • FRP GMDH-Network to Estimate the Punching Capacity of FRP-RC Slabs [Volume 1, Issue 1, 2017, Pages 86-92]
  • FRP Capacity Prediction of RC Beams Strengthened with FRP by Artificial Neural Networks Based on Genetic Algorithm [Volume 1, Issue 1, 2017, Pages 93-98]
  • FRP The Application of Particle Swarm Optimization and Artificial Neural Networks to Estimating the Strength of Reinforced Concrete Flexural Members [Volume 1, Issue 2, 2017, Pages 1-7]
  • Functionalized tips Advanced ANN Prediction of Moisture Damage in CNT Modified Asphalt Binder [Volume 1, Issue 1, 2017, Pages 1-11]
  • Fuzzy System Advanced ANN Prediction of Moisture Damage in CNT Modified Asphalt Binder [Volume 1, Issue 1, 2017, Pages 1-11]

G

  • Gene-Expression Programming No-Deposition Sediment Transport in Sewers Using Gene Expression Programming [Volume 1, Issue 1, 2017, Pages 29-53]
  • Genetic Algorithm Capacity Prediction of RC Beams Strengthened with FRP by Artificial Neural Networks Based on Genetic Algorithm [Volume 1, Issue 1, 2017, Pages 93-98]
  • Genetic algorithm (GA) Optimisation of Recycled Thermoplastic Plate (Tile) [Volume 1, Issue 2, 2017, Pages 19-34]
  • GMDH GMDH-Network to Estimate the Punching Capacity of FRP-RC Slabs [Volume 1, Issue 1, 2017, Pages 86-92]

H

  • Hybrid GA-ANN Model Development of Intelligent Systems to Predict Diamond Wire Saw Performance [Volume 1, Issue 2, 2017, Pages 52-69]

L

M

  • Matlab R2012b Optimisation of Recycled Thermoplastic Plate (Tile) [Volume 1, Issue 2, 2017, Pages 19-34]
  • Membership function construction A Method for Constructing Non-Isosceles Triangular Fuzzy Numbers Using Frequency Histogram and Statistical Parameters [Volume 1, Issue 1, 2017, Pages 65-85]
  • Moisture Advanced ANN Prediction of Moisture Damage in CNT Modified Asphalt Binder [Volume 1, Issue 1, 2017, Pages 1-11]
  • Multilayer Perceptron Development of Intelligent Systems to Predict Diamond Wire Saw Performance [Volume 1, Issue 2, 2017, Pages 52-69]

N

  • Natural Language Processing (NLP) Predicting Budget from Transportation Research Grant Description: An Exploratory Analysis of Text Mining and Machine Learning Techniques [Volume 1, Issue 2, 2017, Pages 89-102]
  • Neural Network Calculation of Torsion Capacity of the Reinforced Concrete Beams Using Artificial Neural Network [Volume 1, Issue 2, 2017, Pages 8-18]
  • Neural Networks Comparison Study of Soft Computing Approaches for Estimation of the Non-Ductile RC Joint Shear Strength [Volume 1, Issue 1, 2017, Pages 12-28]
  • No-deposition No-Deposition Sediment Transport in Sewers Using Gene Expression Programming [Volume 1, Issue 1, 2017, Pages 29-53]
  • Non-Ductile Comparison Study of Soft Computing Approaches for Estimation of the Non-Ductile RC Joint Shear Strength [Volume 1, Issue 1, 2017, Pages 12-28]
  • Non-isosceles A Method for Constructing Non-Isosceles Triangular Fuzzy Numbers Using Frequency Histogram and Statistical Parameters [Volume 1, Issue 1, 2017, Pages 65-85]

P

  • PSO The Application of Particle Swarm Optimization and Artificial Neural Networks to Estimating the Strength of Reinforced Concrete Flexural Members [Volume 1, Issue 2, 2017, Pages 1-7]

R

  • RC Beam Calculation of Torsion Capacity of the Reinforced Concrete Beams Using Artificial Neural Network [Volume 1, Issue 2, 2017, Pages 8-18]
  • RC element The Application of Particle Swarm Optimization and Artificial Neural Networks to Estimating the Strength of Reinforced Concrete Flexural Members [Volume 1, Issue 2, 2017, Pages 1-7]
  • RC joint Comparison Study of Soft Computing Approaches for Estimation of the Non-Ductile RC Joint Shear Strength [Volume 1, Issue 1, 2017, Pages 12-28]
  • RC-Slabs GMDH-Network to Estimate the Punching Capacity of FRP-RC Slabs [Volume 1, Issue 1, 2017, Pages 86-92]

S

  • SAP2000 Seismic Analysis and Design of a Multi-Storey Building Located in Haql City, KSA [Volume 1, Issue 2, 2017, Pages 35-51]
  • Saudi Arabia Seismic Analysis and Design of a Multi-Storey Building Located in Haql City, KSA [Volume 1, Issue 2, 2017, Pages 35-51]
  • SBC 301 (2007) Seismic Analysis and Design of a Multi-Storey Building Located in Haql City, KSA [Volume 1, Issue 2, 2017, Pages 35-51]
  • Sediment transport No-Deposition Sediment Transport in Sewers Using Gene Expression Programming [Volume 1, Issue 1, 2017, Pages 29-53]
  • Seismic loads Seismic Analysis and Design of a Multi-Storey Building Located in Haql City, KSA [Volume 1, Issue 2, 2017, Pages 35-51]
  • Sensitivity analysis Artificial Neural Networks for Construction Management: A Review [Volume 1, Issue 2, 2017, Pages 70-88]
  • Sewer No-Deposition Sediment Transport in Sewers Using Gene Expression Programming [Volume 1, Issue 1, 2017, Pages 29-53]
  • Shear strength Comparison Study of Soft Computing Approaches for Estimation of the Non-Ductile RC Joint Shear Strength [Volume 1, Issue 1, 2017, Pages 12-28]
  • Shear strength Capacity Prediction of RC Beams Strengthened with FRP by Artificial Neural Networks Based on Genetic Algorithm [Volume 1, Issue 1, 2017, Pages 93-98]
  • Shear strength The Application of Particle Swarm Optimization and Artificial Neural Networks to Estimating the Strength of Reinforced Concrete Flexural Members [Volume 1, Issue 2, 2017, Pages 1-7]
  • Soft Computing Comparison Study of Soft Computing Approaches for Estimation of the Non-Ductile RC Joint Shear Strength [Volume 1, Issue 1, 2017, Pages 12-28]
  • Soft Computing Development of Intelligent Systems to Predict Diamond Wire Saw Performance [Volume 1, Issue 2, 2017, Pages 52-69]
  • Soft Computing Predicting Budget from Transportation Research Grant Description: An Exploratory Analysis of Text Mining and Machine Learning Techniques [Volume 1, Issue 2, 2017, Pages 89-102]

T

  • Text Mining Predicting Budget from Transportation Research Grant Description: An Exploratory Analysis of Text Mining and Machine Learning Techniques [Volume 1, Issue 2, 2017, Pages 89-102]
  • Torsion Calculation of Torsion Capacity of the Reinforced Concrete Beams Using Artificial Neural Network [Volume 1, Issue 2, 2017, Pages 8-18]
  • Training algorithm Artificial Neural Networks for Construction Management: A Review [Volume 1, Issue 2, 2017, Pages 70-88]
  • Transportation research Predicting Budget from Transportation Research Grant Description: An Exploratory Analysis of Text Mining and Machine Learning Techniques [Volume 1, Issue 2, 2017, Pages 89-102]
  • Triangular fuzzy number A Method for Constructing Non-Isosceles Triangular Fuzzy Numbers Using Frequency Histogram and Statistical Parameters [Volume 1, Issue 1, 2017, Pages 65-85]

W

  • Waste materials Using of Backpropagation Neural Network in Estimation of Compressive Strength of Waste Concrete [Volume 1, Issue 1, 2017, Pages 54-64]
  • Wear rate Development of Intelligent Systems to Predict Diamond Wire Saw Performance [Volume 1, Issue 2, 2017, Pages 52-69]