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Multistep ahead multiphase production prediction of fractured wells using bidirectional gated recurrent unit and multitask learning
X Li, X Ma, F ** ability, machine learning is found to be efficient and
accurate for production prediction of fractured wells compared with conventional analytical …
accurate for production prediction of fractured wells compared with conventional analytical …
Deep transformer-based asset price and direction prediction
The field of algorithmic trading, driven by deep learning methodologies, has garnered
substantial attention in recent times. Within this domain, transformers, convolutional neural …
substantial attention in recent times. Within this domain, transformers, convolutional neural …
A novel trading system for the stock market using Deep Q-Network action and instance selection
Stock trading is a complex decision-making process that involves predicting market price
movements. Many investors attempt to buy at low prices and sell at high prices, which can …
movements. Many investors attempt to buy at low prices and sell at high prices, which can …
BRN: A belief rule network model for the health evaluation of complex systems
C Zhang, Z Zhou, Y Cao, S Tang, P Ning… - Expert Systems with …, 2023 - Elsevier
A belief rule base (BRB) expert system provides a generic inference framework for
approximating the complicated nonlinear relationships between inputs and outputs. Such …
approximating the complicated nonlinear relationships between inputs and outputs. Such …
Stock price prediction through GRA-WD-BiLSTM model with air quality and weather factors
B Liu, J Pei, Z Yu - International Journal of Machine Learning and …, 2024 - Springer
Accurately predicting stock prices is crucial for reducing investment-related risks in decision-
making. Contemporary challenges to financial behavior, posed by environmental issues …
making. Contemporary challenges to financial behavior, posed by environmental issues …
An interpretable model for stock price movement prediction based on the hierarchical belief rule base
X Yin, X Zhang, H Li, Y Chen, W He - Heliyon, 2023 - cell.com
Stock price movement prediction is the basis for decision-making to maintain the stability
and security of stock markets. It is important to generate predictions in an interpretable …
and security of stock markets. It is important to generate predictions in an interpretable …
Forecasting stock indices: Stochastic and artificial neural network models
In recent years, there has been a bloom in the stock investors due to availability of various
platforms that have provided an opportunity even for small scale investors to earn profits …
platforms that have provided an opportunity even for small scale investors to earn profits …
From interpretation to explanation: An analytical examination of deep neural network with linguistic rule-based model
A Toofani, L Singh, S Paul - Computers and Electrical Engineering, 2024 - Elsevier
Abstract The Deep Learning (DL) models stand out as one of the most popular and widely
adopted machine learning techniques across various applications, owing to their capability …
adopted machine learning techniques across various applications, owing to their capability …
An Algorithmic Trading Approach Merging Machine Learning With Multi-Indicator Strategies for Optimal Performance
This study investigates the integration of machine learning techniques with multi-indicator
strategies in algorithmic trading to overcome the limitations of traditional trading methods. As …
strategies in algorithmic trading to overcome the limitations of traditional trading methods. As …
A multi-model approach to the development of algorithmic trading systems for the Forex market
In the decade passed, considerable affords were made to develop effective trading systems
based on different assumptions concerned with the market nature, methods for data …
based on different assumptions concerned with the market nature, methods for data …