PERSEPTRON ARXITEKTURASI. PERSEPTRON MODELI

Authors

  • Abdullayev Shaxboz Solijon o‘g‘li,Habibjonov Behruz Bahodurzoda Farg’ona davlat universiteti axborot texnologiyalari katta o’qituvchisi,Farg’ona davlat universiteti 2-bosqich talabasi, habibjonovbehruz0@gmail.com Author

Keywords:

Perseptron, mashina o'rganish, sun'iy intellekt, ikkilik tasniflash, neyron tarmoq, og'irlik, bias, faollashtirish funktsiyasi, chiziqli bosqich, qadam funktsiyasi, signal funktsiyasi, Perseptron modellari, bir qavatli Perseptron, ko'p qatlamli Perseptron, ANN, murakkab muammolar, faollash, kelajagi.

Abstract

Bu maqolada Perseptron modeli va uning asosiy qismlari haqida tushunchalar berilgan. Perseptron, ikkilik tasniflash vazifalarini nazorat ostida o'rganish uchun ishlatiladigan mashinani o'rganish algoritmi hisoblanadi. Bu model kirish qiymatlari, og'irliklar va bias (kesish chizig'i) bilan belgilangan. Faollashtirish funktsiyasi Perseptronning chiqishini aniqlashda yordam beradi.Perseptronning cheklovlari va kelajagi ham qismlarida ko'rsatilgan. Uning kelajagi mashinalar davlatining samaradorligini oshirishda muhim ahamiyatga ega.

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Published

2024-05-16