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Artificial Neural Network Model for Early Prediction of Compressive Strength of Concrete with Waste Tyre Steel Fibres

https://doi.org/10.2139/ssrn.4673418
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Experimental investigation of eco-friendly high strength fiber-reinforced concrete developed with combined incorporation of tyre-steel fiber and fly ash
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Shear transfer across cracks in steel fibre reinforced concrete
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Performance comparison of neural network training algorithms in the modeling properties of steel fiber reinforced concrete
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Deep learning in neural networks: An overview
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The orientation effect of opening and internal strengthening on shear performance of deep concrete beam using recycled tyre steel fibres
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Prediction of shear strength of reinforced concrete beams using adaptive neuro-fuzzy inference system and artificial neural network
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Comparison of various machine learning algorithms used for compressive strength prediction of steel fiber-reinforced concrete
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Evaluation of Artificial Neural Network Predicted Mechanical Properties of Jute and Bamboo Fiber Reinforced Concrete Along with Silica Fume
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A method for the solution of certain non-linear problems in least squares
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An Algorithm for Least-Squares Estimation of Nonlinear Parameters
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Prediction of Compressive Strength of Concrete Using Artificial Neural Network and Genetic Programming
inferredcites →https://doi.org/10.1155/2020/8834507openalex-extracted
Effect of Surface Shape and Content of Steel Fiber on Mechanical Properties of Concrete
inferredcites →https://doi.org/10.1155/2021/6618407openalex-extracted
Compressive Strength of Fly‐Ash‐Based Geopolymer Concrete by Gene Expression Programming and Random Forest
inferredcites →https://doi.org/10.1155/2022/4691972openalex-extracted
Mechanical and Durability Performance of High‐Strength Concrete with Waste Tyre Steel Fibres
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Prediction of the Mechanical Properties of Fibre-Reinforced Quarry Dust Concrete Using Response Surface and Artificial Neural Network Techniques
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Levenberg–Marquardt Training
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Prediction of compressive strength of recycled aggregate concrete using machine learning and Bayesian optimization methods
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Finite element, analytical, artificial neural network models for carbon fibre reinforced polymer confined concrete filled steel columns with elliptical cross sections
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Characteristics of Recycled Polypropylene Fibers as an Addition to Concrete Fabrication Based on Portland Cement
inferredcites →https://doi.org/10.3390/ma14237172openalex-extracted
Artificial Neural Network (ANN) and Finite Element (FEM) Models for GFRP-Reinforced Concrete Columns under Axial Compression
inferredcites →https://doi.org/10.5937/jaes0-32264openalex-extracted
Flexural strength and ductility of ultra high-performance cement-based composites (UHP-CC)
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