چکیده مقاله
With the rapid growth of urbanization and the increasing complexity of urban management, accurate prediction of urban revenues has become one of the key challenges for city managers Artificial intelligence AI and machine learning ML algorithms, with their ability to analyze big data and uncover hidden patterns, provide powerful tools for optimizing financial management and forecasting urban revenues This paper examines the use of ML algorithms in predicting urban revenues, discussing their advantages, challenges, data collection methods, and international case studies, showing how intelligent application of this technology can enhance transparency, efficiency, and financial planning accuracy
کلیدواژهها
نویسندگان
Kowsar BemanAli
salary & wages expert of Isfahan municipality
شیوه ارجاع
BemanAli, Kowsar,1404,Application of Artificial Intelligence in Financial Optimization and Prediction of Urban Revenues (Analysis of Machine Learning Algorithms in Urban Financial Resource Management),1st National Conference Governance, Management and Urban Planning,Maragheh
ارائهشده در
مجموعه مقالات اولین همایش ملی حکمرانی، مدیریت و برنامه ریزی شهری28 آبان 1404 · مراغه