KO‘P MEZONLI QAROR QABUL QILISH TIZIMLARIDA INTELLEKTUAL KOMPONENTLARNING O‘RNI VA NAZARIY ASOSLARI

Makale Kenar Çubuğu

PDF|DOI (İngilizce)
Yayınlanmış: 2025-06-10
Anahtar Kelimeler:
axborot texnologiyalari, algoritm, ansambl modeli, grafik model, neyron tarmoqlar

Ana Makale İçeriği

Alisher Yusupjon o’g’li Usmanov

Öz

Ushbu maqolada ko‘p mezonli qaror qabul qilish tizimlarida intellektual tahlil usullarining roli va ularning samaradorligini baholash bo‘yicha nazariy va amaliy jihatlar yoritilgan. Intellektual yondashuvlar, jumladan, K-means klasterlash, Random Forest, Neyron tarmoqlar va Bayes tarmoqlari tahlil qilinadi. Shuningdek, eksperimentlar orqali ushbu metodlarning taqqoslanishi, baholash metrikalari va xulosalari keltirilgan.

Makale Ayrıntıları

Sayı

Cilt 4 Sayı 6 (2025): Results of National Scientific Research International Journal

Bölüm

Articles

Referanslar

1. Quinlan J.R. (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann.

2. Breiman L. (2001). Random Forests. Machine Learning, 45(1):5–32.

3. Bishop C.M. (2006). Pattern Recognition and Machine Learning. Springer.

4. Mitchell T. (1997). Machine Learning. McGraw Hill.

5. Russell S., Norvig P. (2020). Artificial Intelligence: A Modern Approach. 4th Ed.

6. Han J., Kamber M., Pei J. (2011). Data Mining: Concepts and Techniques. Morgan Kaufmann.

7. Koller D., Friedman N. (2009). Probabilistic Graphical Models: Principles and Techniques. MIT Press.

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

9. Witten I.H., Frank E., Hall M.A. (2017). Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann.