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- W2891788044 abstract "Abstract The application of neural networks for predicting the stress-strain relationships of reinforced concrete sections is presented. Computation algorithms in the form of numerical analysis were performed on reinforced concrete sections to simulate existing experimental data. A systematic approach is provided by implementing neural networks in the form of prediction by backpropagation algorithms. The efficiency of neural network techniques is demonstrated by means of reconstructing previous experimental work and evaluating several parameters based on neural networks which are in agreement with experimental results. The procedure establishes valid mathematical relationships without relying on a particular algorithm and depends entirely on the manipulation of numerical data." @default.
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- W2891788044 date "1997-01-01" @default.
- W2891788044 modified "2023-09-27" @default.
- W2891788044 title "Prediction of Stress-strain Relationships for Reinforced Concrete Sections by Implementing Neural Network Techniques" @default.
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- W2891788044 doi "https://doi.org/10.1016/s1018-3639(18)30675-5" @default.
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