2010 | OriginalPaper | Buchkapitel
Application of Neural Network in Prediction for Self-compaction Concrete
verfasst von : Wang Jin-li, Liu Hai-qing
Erschienen in: Fuzzy Information and Engineering 2010
Verlag: Springer Berlin Heidelberg
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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.