학술논문

The Use of Deep Learning and Blockchain for Predictive Analytics in Financial Management
Document Type
Conference
Source
2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) Advance Computing and Innovative Technologies in Engineering (ICACITE), 2023 3rd International Conference on. :11-15 May, 2023
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Deep learning
Training
Recurrent neural networks
Predictive models
Financial management
Trustless services
Blockchains
Safety
Predictive analytics
Task analysis
deep learning
blockchain
predictive analytics
financial management
artificial neural networks
convolutional neural networks
recurrent neural networks
generative adversarial networks
long short-term memory networks
autoencoders
deep reinforcement learning
Language
Abstract
In this study, the authors provide a fresh method for improving financial management by combining deep learning with blockchain. The merits of using deep learning algorithms to evaluate financial data and produce precise forecasts, with blockchain technology included for trustless, transparent record-keeping, are investigated. Based on the findings, combining deep learning with blockchain technology may greatly improve the reliability of financial forecasts, ensure the safety of sensitive financial information, and simplify administrative tasks. The research reveals the potential pitfalls of using deep learning and blockchain to the field of financial management and suggests solutions to these problems. Practical consequences for financial institutions, investors, and regulators stem from this study’s results, which add to the existing body of information on the use of deep learning and blockchain technology in financial management.