Abstract
This paper investigates the applicability of artificial neural network model for strength prediction of fibers’ self-compacting concrete under compression. The available 99 experimental data samples of fibers self-compacting concrete were used in this research work. In this paper, computational-based research is carried for predicting the strength of concrete under compression and model was developed using ANN with five input nodes and feed-forward three-layer back-propagation neural networks with ten hidden nodes were examined using learning algorithm. ANN model proposed analytically was verified, and it gives more compatible results. Hence, the ANN model is proposed to predict the strength of fibrous self-compacting concrete under compression.
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Meesaraganda, L.V.P., Saha, P., Tarafder, N. (2019). Artificial Neural Network for Strength Prediction of Fibers’ Self-compacting Concrete. In: Bansal, J., Das, K., Nagar, A., Deep, K., Ojha, A. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 816. Springer, Singapore. https://doi.org/10.1007/978-981-13-1592-3_2
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DOI: https://doi.org/10.1007/978-981-13-1592-3_2
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