Improved optimization parameters prediction using the modified mega trend diffusion function for a small dataset problem
This paper proposes a modified mega trend diffusion (MTD) function based on the K-means clustering algorithm to generate artificial samples for a training dataset. This would improve the prediction accuracy in a backpropagation neural network (BPNN) algorithm used in small dataset problems. The main...
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| Format: | Article |
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Springer Science and Business Media Deutschland GmbH
2022
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