ACADSTAFF UGM
| Title | : | The effect of amplitude modification in S-shaped activation function on neural network regression |
| Author | : |
Faizal Makhrus, S.Kom., M.Sc., Ph.D. (1) |
| Date | : | 23 2023 |
| Keyword | : | Neural network,activation functions,amplitude Neural network,activation functions,amplitude |
| Abstract | : | Time series forecasting using multilayer Feed-forward Neural Network (FNN) is potential to give high accuracy. Several factors influence the accuracy. One of them is the choice of activation functions (AFs). There are several AFs commonly used in FNN with their specific characteristics, such as bounded type AFs, namely sigmoid, softsign, arctan, and tanh. This paper investigates the effect of the amplitude in the bounded AFs in the FNN prediction accuracy. The investigation is in both theoretical and experimental. The theoretical analyses show that the high amplitudes give high accuracy when using softsign, arctan, and tanh AFs. Some conducted experiments support these theoretical analyses using foreign exchange datasets of 10 countries from different continents compared with US Dollar (USD). Based on the results, the optimum amplitude of the AFs should be high, which is greater or equal to 100 times the maximum input values of the FNN. https://doi.org/10.14311/NNW.2023.33.015 |
| Group of Knowledge | : | Ilmu Komputer |
| Original Language | : | English |
| Level | : | Internasional |
| Status | : |
Published
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| No | Title | Action |
|---|---|---|
| 1 |
paper_cover_board.pdf
Document Type : [PAK] Full Dokumen
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| 2 |
THE EFFECT OF AMPLITUDE MODIFICATION IN S-SHAPED ACTIVATION FUNCTION ON NEURAL NETWORK REGRESSION(1).pdf
Document Type : [PAK] Cek Similarity
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| 3 |
Bukti_Scopus.pdf
Document Type : Dokumen Pendukung Karya Ilmiah (Hibah, Publikasi, Penelitian, Pengabdian)
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| 4 |
Bukti_korespondensi_terurut_final.pdf
Document Type : [PAK] Bukti Korespondensi Penulis
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View |