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- W2911357580 abstract "Firstly, a genetic algorithm (GA) and simulated annealing (SA) optimized fuzzy c-means clustering algorithm (FCM) was proposed in this paper, which was developed to allow for a clustering analysis of the massive concrete cube specimen compression test data. Then, using an optimized error correction time series estimation method based on the wavelet neural network (WNN), a concrete cube specimen compressive strength test data estimation model was constructed. Taking the results of cluster analysis as data samples, the short-term accurate estimation of concrete quality was carried out. It was found that the mean absolute percentage error, e 1 , and the root mean square error, e 2 , for the samples were 6.03385% and 3.3682KN, indicating that the proposed method had higher estimation accuracy and was suitable for concrete compressive test data short-term quality estimations." @default.
- W2911357580 created "2019-02-21" @default.
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- W2911357580 date "2019-02-11" @default.
- W2911357580 modified "2023-10-18" @default.
- W2911357580 title "Concrete Compression Test Data Estimation Based on a Wavelet Neural Network Model" @default.
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- W2911357580 doi "https://doi.org/10.1155/2019/4952036" @default.
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