Strength prediction of fibre nano concrete based on grey support vector machine

Because the traditional strength prediction method of fibre nano concrete has the problem of poor prediction effect, a strength prediction method of fibre nano concrete based on grey support vector machine (SVM) is proposed. The raw materials required for the preparation of fibre nano concrete are used as the initial strength prediction index of fibre nano concrete. After the prediction index data is not dimensionally processed, the grey correlation coefficient and grey correlation degree of the prediction index for the concrete strength are calculated. The prediction index with the grey correlation degree value higher than 0.6 is selected as the final prediction index. The SVM prediction model and grey prediction GN (1, 1) model are combined to obtain the final prediction results. The experimental results show that the strength prediction effect of the proposed method is good. Copyright © 2023 Inderscience Enterprises Ltd.