OPTIMALLASHTIRUVCHI VA AKTIVATSIYA FUNKSIYALARI SINERGIYASINING NEYRON TARMOQ UMUMLASHTIRISH QOBILIYATIGA TA'SIRI

Authors

  • Obidjonov Boburjon Rustamjon o’g’li Kimyo International University in Tashkent Author

Keywords:

optimallashtiruvchi, aktivatsiya funksiyasi, sinergiya, umumlashtirish qobiliyati, Adam, GELU, LeakyReLU, muvozanatli ma'lumotlar, muvozanatsiz ma'lumotlar, ANOVA.

Abstract

  

References

1. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.

2. Apicella, A., Donnarumma, F., Isgrò, F., & Prevete, R. (2021). A survey on modern trainable activation functions. Neural Networks, 138, 14-32.

3. Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley.

4. Kingma, D. P., & Ba, J. (2015). Adam: A method for stochastic optimization. ICLR.

5. Hendrycks, D., & Gimpel, K. (2016). Gaussian error linear units (GELUs). arXiv:1606.08415.

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Published

2026-04-07

Issue

Vol. 3 No. 1 (2026): ANALYSIS OF MODERN SCIENCE AND INNOVATION

Section

Articles