NEYRON TO‘RLARNI OʻQITISHDA, TOPOLOGIYASINI TANLASHDA GENETIK ALGORITMLAR
DOI:
https://doi.org/10.5281/zenodo.11194768Keywords:
sun'iy intellekt, neyron tarmoqlari, genetik algoritmlar, optimallashtirish, topologiya tanlash, parametr sozlash.Abstract
Ushbu maqola neyron tarmoqlar va genetik algoritmlar o‘rtasidagi aloqani va bu ikki texnologiya qanday qilib bir birini to‘ldirishi mumkinligini o‘rganadi. Neyron tarmoqlarini o‘qitishda genetik algoritmlardan foydalanish, shuningdek neyron tarmoqlari topologiyasini tanlashda genetik algoritmlardan qanday qilib foydalanish mumkinligi muhokama qiladi. Maqola, neyron tarmoqlarini optimallashtirish uchun genetik algoritmlar yordamida topologiya va parametrlarni tanlashning turli usullarini taqdim etadi va bu jarayonlarning samaradorligini tahlil qiladi.
References
Goldberg, D. E. (1989). Genetic Algorithms in Search, Optimization, and Machine Learning. AddisonWesley Longman Publishing Co., Inc.
Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press. http://www.deeplearningbook.org.
Holland, J. H. (1992). Adaptation in Natural and Artificial Systems. University of Michigan Press.
Mitchell, M. (1998). An Introduction to Genetic Algorithms. MIT Press.
Haykin, S. (1999). Neural Networks: A Comprehensive Foundation. Prentice Hall.
Eiben, A. E., & Smith, J. E. (2015). Introduction to Evolutionary Computing. Springer.
Yao, X. (1999). "Evolving Artificial Neural Networks". Proceedings of the IEEE, 87(9), 14231447.
Stanley, K. O., & Miikkulainen, R. (2002). "Evolving Neural Networks through Augmenting Topologies". Evolutionary Computation, 10(2), 99127.
Nurmatovich, T. I. (2024). Bir qatlamli va ko ‘p qatlamli neyron to ‘rlari. ILM FAN XABARNOMASI, 1(1), 190-191.
Nurmamatovich, T. I., & Kudratullo o‘g, K. U. B. (2024). THE EVOLUTION OF AI: FROM EARLY CONCEPTS TO MODERN BREAKTHROUGHS. Лучшие интеллектуальные исследования, 20(2), 42-46.
Tojimamatov, I., & G’ulomjonova, S. (2024). NEYRO KOMPYUTERLAR VA ULARNING ARXITEKTURASI. Development of pedagogical technologies in modern sciences, 3(6), 10-16.
Tojimamatov, I., & Jo’rayeva, M. (2024). BOLSMAN MASHINASI VA UNING AHAMIYATI. Development and innovations in science, 3(4), 154-160.
Nurmamatovich, T. I., & Nozimaxon, E. (2024). Chiqish qatlami vaznlarni sozlash va xatoliklarni teskari tarqalishi algoritmi. ILM FAN XABARNOMASI, 1(1), 29-35.
Tojimamatov, I., & Ismoiljonova, O. (2024). BIR QATLAMLI PERCEPTRONNI O ‘QITISH. Академические исследования в современной науке, 3(12), 153-158.
Nurmamatovich, T. I. (2024, April). BIR QATLAMLI PERCEPTRONNI O ‘QITISH. In " CANADA" INTERNATİONAL CONFERENCE ON DEVELOPMENTS İN EDUCATİON, SCİENCESAND HUMANİTİES (Vol. 17, No. 1).
Nurmamatovich, T. I. (2024, April). SUN'IY NEYRONNING MATEMATIK MODELI HAMDA FAOLLASHTIRISH FUNKTSIYALARI. In " USA" INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE TOPICAL ISSUES OF SCIENCE (Vol. 17, No. 1).
Nurmamatovich, T. I. (2024, April). SUNIY NEYRON TORLARINI ADAPTIV KUCHAYTIRISH USULI. In " USA" INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE TOPICAL ISSUES OF SCIENCE (Vol. 17, No. 1).
Nurmamatovich, T. I. (2024). XEBB O’QITISH QOIDASI. " GERMANY" MODERN SCIENTIFIC RESEARCH: ACHIEVEMENTS, INNOVATIONS AND DEVELOPMENT PROSPECTS, 17(1).
Tojimamatov, I., & G’ulomjonova, S. (2024). NEYRO KOMPYUTERLAR VA ULARNING ARXITEKTURASI. Development of pedagogical technologies in modern sciences, 3(6), 10-16.
