Abstract
The different concrete mixture of the self-compaction concrete concluded fly ash has great effect to the compression strength. In order to predict the compression strength of the self-compaction concrete concluded fly ash, the article adopt BP Neural Network to train the system. It shows the hiding neural node is close to precision and it is possible for prediction of the self-compaction concrete with BP network.
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Jin-li, W., Hai-qing, L. (2010). Application of Neural Network in Prediction for Self-compaction Concrete. In: Cao, By., Wang, Gj., Guo, Sz., Chen, Sl. (eds) Fuzzy Information and Engineering 2010. Advances in Intelligent and Soft Computing, vol 78. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14880-4_81
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DOI: https://doi.org/10.1007/978-3-642-14880-4_81
Publisher Name: Springer, Berlin, Heidelberg
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