Abstract
According to the modeling of chemical grey box, the Fast Global Fuzzy C-Means Clustering algorithm (FGFC),is used to getting effective training data of modeling. The algorithm is based on the Fuzzy C-means algorithm, It doesn’t dependent on initial conditions, and at the same time improve the accuracy of the clustering. Experiments show that the FGFCM algorithm’s data improved the performance of predicting time and data accuracy, this algorithm was proved to be efficient by computer simulation.
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Li, W., Dong, L., Tao, J. (2010). A Fast Global Fuzzy Clustering Algorithm for the Chemical Gray Box Modeling. 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_63
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DOI: https://doi.org/10.1007/978-3-642-14880-4_63
Publisher Name: Springer, Berlin, Heidelberg
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