چکیده مقاله
Cryptocurrencies are blockchain based assets that are managed in a decentralized manner and provide high security for transactions and storage of value This trillion dollar market plays a key role in the future of the global economy Among them, Bitcoin, as the top cryptocurrency in terms of value and volume of capital entered into the cryptocurrency market, has a special dominance over this market As a result, analyzing the future of the Bitcoin market can be a suitable roadmap for examining the future of the cryptocurrency market and its users In this article, advanced artificial intelligence models have been used to analyze and predict the price of Bitcoin with the aim of providing an accurate and reliable approach to identifying market trends and predicting prices in different time periods The proposed approach can help investors and analysts of the cryptocurrency market to make better decisions in risk management and comprehensive investments in the capital market The results obtained from the simulation demonstrate the high capability of the proposed algorithm in predicting the price of Bitcoin Also, the analysis of the prediction results shows a 10% reduction in error compared to traditional models
کلیدواژهها
نویسندگان
Ali Taeb
Department of Computer Engineering, Islamic Azad University, Karaj, Iran
Mohammad Mohammadi Nasab
Assistant Professor of Faculty of Department of Computer Engineering and Artificial Intelligence IAU, Karaj Branch
Kiarmin Boroon
Department of Computer Engineering, Islamic Azad University, Karaj, Iran
شیوه ارجاع
Taeb, Ali and Nasab, Mohammad Mohammadi and Boroon, Kiarmin,1403,A New Market Analysis Method for Predicting Bitcoin Prices Using Deep Neural Networks,The 14th ECDC2025 international e-commerce conference with the approach of artificial intelligence, Internet of Things, business and metaverse,Shiraz
ارائهشده در
مجموعه مقالات چهاردهمین کنفرانس بین المللی تجارت الکترونیک ECDC۲۰۲۵ با رویکرد هوش مصنوعی، اینترنت اشیاء، کسب و کار و متاورس25 بهمن 1403 · شیراز