Imagen de Portada

Advanced LSTM Neural Networks for Predicting Directional Changes in Sector-Specific ETFs Using Machine Learning Techniques

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Gowani, Rifa, Kanjiani, Zaryab
Formato:	Preprint
Publicado:	2024
Materias:	Computational Engineering, Finance, and Science Machine Learning Neural and Evolutionary Computing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Evolutionary Optimization of Physics-Informed Neural Networks: Advancing Generalizability by the Baldwin Effect
por: Wong, Jian Cheng, et al.
Publicado: (2023)

Input Specific Neural Networks
por: Jadoon, Asghar A., et al.
Publicado: (2025)

Echo State Networks for Bitcoin Time Series Prediction
por: Sharma, Mansi, et al.
Publicado: (2025)

Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities
por: Wong, Jian Cheng, et al.
Publicado: (2025)

Optimizing Performance of Feedforward and Convolutional Neural Networks through Dynamic Activation Functions
por: Rane, Chinmay, et al.
Publicado: (2023)

Advanced Displacement Magnitude Prediction in Multi-Material Architected Lattice Structure Beams Using Physics Informed Neural Network Architecture
por: Mishra, Akshansh
Publicado: (2024)

Graph Neural Network Assisted Genetic Algorithm for Structural Dynamic Response and Parameter Optimization
por: Mukherjee, Sagnik, et al.
Publicado: (2025)

Improving the performance of optical inverse design of multilayer thin films using CNN-LSTM tandem neural networks
por: Jung, Uijun, et al.
Publicado: (2025)

Degree-Optimized Cumulative Polynomial Kolmogorov-Arnold Networks
por: Vanherreweghe, Mathew, et al.
Publicado: (2025)

Liquid Fourier Latent Dynamics Networks for fast GPU-based numerical simulations in computational cardiology
por: Salvador, Matteo, et al.
Publicado: (2024)

AutoTandemML: Active Learning Enhanced Tandem Neural Networks for Inverse Design Problems
por: Grbcic, Luka, et al.
Publicado: (2025)

Regression-based Physics Informed Neural Networks (Reg-PINNs) for Magnetopause Tracking
por: Hou, Po-Han, et al.
Publicado: (2023)

Evaluating the Efficacy of Instance Incremental vs. Batch Learning in Delayed Label Environments: An Empirical Study on Tabular Data Streaming for Fraud Detection
por: Amekoe, Kodjo Mawuena, et al.
Publicado: (2024)

Active Learning for Neural PDE Solvers
por: Musekamp, Daniel, et al.
Publicado: (2024)

Benchmarking ERP Analysis: Manual Features, Deep Learning, and Foundation Models
por: Wang, Yihe, et al.
Publicado: (2026)

Enhancing Physics-Informed Neural Networks with Domain-aware Fourier Features: Towards Improved Performance and Interpretable Results
por: Calero, Alberto Miño, et al.
Publicado: (2026)

Smart Timing for Mining: A Deep Learning Framework for Bitcoin Hardware ROI Prediction
por: Wickramasinghe, Sithumi, et al.
Publicado: (2025)

Efficient Inverse Design Optimization through Multi-fidelity Simulations, Machine Learning, and Search Space Reduction Strategies
por: Grbcic, Luka, et al.
Publicado: (2023)

Benchmarking of GPU-optimized Quantum-Inspired Evolutionary Optimization Algorithm using Functional Analysis
por: Kumar, Kandula Eswara Sai, et al.
Publicado: (2024)

An approach to the timetabling problem in deregulated railway markets based on metaheuristic algorithms
por: Muñoz-Valero, David, et al.
Publicado: (2025)

Illustrating the benefits of efficient creation and adaption of behavior models in intelligent Digital Twins over the machine life cycle
por: Dittler, Daniel, et al.
Publicado: (2024)

Modified-Improved Fitness Dependent Optimizer for Complex and Engineering Problems
por: Hamarashid, Hozan K., et al.
Publicado: (2024)

Towards Equitable Rail Service Allocation Through Fairness-Oriented Timetabling in Liberalized Markets
por: Muñoz-Valero, David, et al.
Publicado: (2025)

Populating cellular metamaterials on the extrema of attainable elasticity through neuroevolution
por: Yan, Maohua, et al.
Publicado: (2024)

Meta-heuristic Optimizer Inspired by the Philosophy of Yi Jing
por: Yang, Yisheng, et al.
Publicado: (2024)

Digital Twin-Driven Pavement Health Monitoring and Maintenance Optimization Using Graph Neural Networks
por: Topu, Mohsin Mahmud, et al.
Publicado: (2025)

ST-ResGAT: Explainable Spatio-Temporal Graph Neural Network for Road Condition Prediction and Priority-Driven Maintenance
por: Topu, Mohsin Mahmud, et al.
Publicado: (2026)

Enhancing Heat Sink Efficiency in MOSFETs using Physics Informed Neural Networks: A Systematic Study on Coolant Velocity Estimation
por: Bora, Aniruddha, et al.
Publicado: (2026)

Comparison of Neural FEM and Neural Operator Methods for applications in Solid Mechanics
por: Hildebrand, Stefan, et al.
Publicado: (2023)

A Consolidated Volatility Prediction with Back Propagation Neural Network and Genetic Algorithm
por: Ke, Zong, et al.
Publicado: (2024)

FastVPINNs: Tensor-Driven Acceleration of VPINNs for Complex Geometries
por: Anandh, Thivin, et al.
Publicado: (2024)

STONet: A neural operator for modeling solute transport in micro-cracked reservoirs
por: Haghighat, Ehsan, et al.
Publicado: (2024)

Robust blue-green urban flood risk management optimised with a genetic algorithm for multiple rainstorm return periods
por: Rehman, Asid Ur, et al.
Publicado: (2025)

PINEAPPLE: Physics-Informed Neuro-Evolution Algorithm for Prognostic Parameter Inference in Lithium-Ion Battery Electrodes
por: Pugalenthi, Karkulali, et al.
Publicado: (2026)

HEAS: Hierarchical Evolutionary Agent-Based Simulation Framework for Multi-Objective Policy Search
por: Zhang, Ruiyu, et al.
Publicado: (2025)

An improved educational competition optimizer with multi-covariance learning operators for global optimization problems
por: Zhao, Baoqi, et al.
Publicado: (2025)

The Principle of Maximum Heterogeneity Optimises Productivity in Distributed Production Systems Across Biology, Economics, and Computing
por: Artis, Guillhem, et al.
Publicado: (2026)

Plastic Arbor: a modern simulation framework for synaptic plasticity -- from single synapses to networks of morphological neurons
por: Luboeinski, Jannik, et al.
Publicado: (2024)

A multi-strategy improved gazelle optimization algorithm for solving numerical optimization and engineering applications
por: Diao, Qi, et al.
Publicado: (2025)

Personalized Transcranial Electrical Stimulation: A Review of Computational Modeling and Optimization
por: Wang, Mo, et al.
Publicado: (2025)