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Vol. 10 No. 12 (2023)
International Multidisciplinary Journal for Research & Development

Articles

ALGORITHMS FOR INTEGRATION OF LOCAL DECISIONS IN PATTERN RECOGNITION BASED ON A NEURAL NETWORK APPROACH

Published 2023-12-21

  • Abrorjon Kholmatov

Abrorjon Kholmatov
Teacher Fergana branch of the Tashkent university of information technologies named after Muhammad al-Khorazmi

Abstract

Pattern recognition systems based on neural network approaches often involve local decision-making at various stages of the process. Local decisions refer to the classification or interpretation of patterns within specific regions or components of a larger input space. Integrating these local decisions is crucial for achieving accurate and robust pattern recognition outcomes. This abstract presents key algorithms designed for the effective integration of local decisions in the context of neural network-based pattern recognition systems.These algorithms contribute to the development of robust and accurate pattern recognition systems by effectively harnessing the strengths of local decisions within neural network-based architectures. The choice of integration algorithm depends on the specific characteristics of the recognition task and the nature of the input patterns. The presented algorithms offer a comprehensive toolkit for researchers and practitioners working in the field of neural network-based pattern recognition.

Keywords

Neural Network, Pattern Recognition, Local Decisions, Decision Integration, Majority Voting, Weighted Averaging, Fusion with Confidence Levels, Hierarchical Decision Fusion, Adaptive Fusion, Ensemble Methods, Bagging, Boosting, Bayesian Integration, Classifier Fusion, Neural Network Ensemble, Decision-Level Fusion, Confidence-based Fusion, Integration Algorithms, Recognition System, Ensemble Learning.

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References

  1. Abrorjon Kholmatov. (2023). WIDELY USED LIBRARIES IN THE JAVASCRIPT PROGRAMMING LANGUAGE AND THEIR CAPABILITIES. Intent Research Scientific Journal, 2(10), 18–25. Retrieved from https://intentresearch.org/index.php/irsj/article/view/220
  2. Kholmatov, Abrorjon. "Pedagogical Technologies in Teaching Students About Web Programming." Journal of Pedagogical Inventions and Practices 25 (2023): 40-44.
  3. Abdurasulova D. B. Q., Yakubov M. S. YUK OQIMLARINI BOSHQARISHNI TASHKIL ETISHNING O'ZIGA XOS XUSUSIYATLARI //Academic research in educational sciences. – 2022. – Т. 3. – №. 3. – С. 734-737.
  4. Soliev B. N., Abdurasulova D., Yakubov M. S. USING THE DJANGO FRAMEWORK FOR E-COMMERCE PROCESSES //Journal of Integrated Education and Research. – 2022. – Т. 1. – №. 6. – С. 229-233
  5. Sodikova M. MOBIL QURILMALAR ISHLAB CHIQISH FANINI O ‘QITISHDA SUN’IY INTELLEKTNING ROLI //Research and implementation. – 2023. – Т. 1. – №. 2. – С. 79-83.
  6. Xolmatov Abrorjon Alisher o‘g‘li, Muminjonovich Hoshimov Bahodirjon, and Uzokov Barhayot Muhammadiyevich. "Teaching Children to Programming on the Example of the Scratch Program." Eurasian Scientific Herald 9 (2022): 131-134.
  7. Xadjayev S. АСИНХРОННАЯ БИБЛИОТЕКА PYTHON ASYNCIO: ПРЕИМУЩЕСТВА И ПРИМЕРЫ ПРИМЕНЕНИЯ //Потомки Аль-Фаргани. – 2023. – Т. 1. – №. 2. – С. 45-48.
  8. Ravshanbek Z., Saidakbar X. Staff Incentives Based on Kpi Principles //Periodica Journal of Modern Philosophy, Social Sciences and Humanities. – 2023. – Т. 17. – С. 101-105.
  9. Kayumov A., Meliqo‘ziyev M. JAVA DASTURLASH TILI
  10. TALABALARI UCHUN DASTURIY TA’MINOTNI ISHLAB
  11. CHIQISHNING YANGI METODOLOGIYASI //Research and
  12. implementation. – 2023.
  13. Abrorjon Kholmatov, & Abdurahimova Mubiyna. (2023). C AND C++ PROGRAMMING LANGUAGES CAPABILITIES AND DIFFERENCES. Galaxy International Interdisciplinary Research Journal, 11(11), 35–40. Retrieved from https://internationaljournals.co.in/index.php/giirj/article/view/4533
  14. Muminjonovich K. A. SUN’IY INELLEKTNI RIVOJLANTIRISHDA DASTURLASH TILLARINING RO‘LI //Journal of new century innovations. – 2023. – Т. 12. – №. 4. – С. 159-161.
  15. Kayumov A. CREATING AN EXPERT SYSTEM-BASED PROGRAM TO EVALUATE TEXTILE MACHINE EFFECTIVENESS //Потомки Аль-Фаргани. – 2023. – Т. 1. – №. 2. – С. 49-52.
  16. Sodikova M. EFFECTIVE METHODS OF TEACHING HISTORY //НАУКА И ТЕХНИКА. МИРОВЫЕ ИССЛЕДОВАНИЯ. – 2020. – С. 29-31.
  17. Sadikova M. OPTIMIZATION OF THE BUSINESS PROCESS AS ONE OF THE MAIN TASKS IN MODERN MANAGEMENT //Теория и практика современной науки. – 2022. – №. 9 (87). – С. 3-7.
  18. Sadikova Munira Alisherovna. (2023). DISADVANTAGES OF TEACHING PROGRAMMING IN DISTANCE EDUCATION. Intent Research Scientific Journal, 2(10), 26–33.
  19. Alisherovna S. M. WAYS TO WRITE CODE ON ANDROID DEVICES //American Journal of Technology and Applied Sciences. – 2023. – Т. 17. – С. 39-42.
  20. Хаджаев С. И. ЦИФРОВЫЕ ТЕХНОЛОГИИ В МЕДИЦИНЕ: ПРЕИМУЩЕСТВА И ПЕРСПЕКТИВЫ //Молодые ученые. – 2023. – Т. 1. – №. 4. – С. 10-11.
  21. Nabijonovich S. B. et al. UNVEILING THE FUTURE OF DATA EXTRACTION USING PYTHON AND AI FOR VIDEO-BASED INFORMATION RECOGNITION //American Journal of Technology and Applied Sciences. – 2023. – Т. 17. – С. 26-32.
  22. Kochkorova G., Irmatova D., Abdurasulova D. ASSOCIATION OF VIRTUAL REALITY INTO HUMAN CONSCIOUSNESS //International Bulletin of Applied Science and Technology. – 2023. – Т. 3. – №. 10. – С. 326-329.
  23. Abdurasulova, D. B. kizi, & Irmatova , D. B. (2023). USE OF DIFFERENT ALGORITHMS AND APPLICATION OF SOFTWARE PRODUCT CREATION SEQUENCES IN ORGANIZING COMPLEX STRUCTURED PROJECTS. Educational Research in Universal Sciences, 2(11), 170–173. Retrieved from http://erus.uz/index.php/er/article/view/3947
  24. Soliev B. N., kizi Abdurasulova D. B., Yakubov M. S. USING GINJA TEMPLATES TO CREATE E-COMMERCE PLATFORMS //Publishing House “Baltija Publishing”. – 2023.
  25. Abdurasulova D. THE MAIN DIRECTIONS OF MODERN PRAGMALINGUISTICS: IDEAS AND PERSPECTIVES //InterConf. – 2021.

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