Results 81 to 90 of about 233,583 (184)

Adaptive Ensemble Learning for Financial Time-Series Forecasting: A Hypernetwork-Enhanced Reservoir Computing Framework with Multi-Scale Temporal Modeling

Axioms
Financial market forecasting remains challenging due to complex nonlinear dynamics and regime-dependent behaviors that traditional models struggle to capture effectively. This research introduces the Adaptive Financial Reservoir Network with Hypernetwork
Yinuo Sun, Zhaoen Qu, Tingwei Zhang, Xiangyu Li   +3 more
doaj   +1 more source

Uncertainty Quantification through Dropout in Time Series Prediction by Echo State Networks

Mathematics, 2020
The application of echo state networks to time series prediction has provided notable results, favored by their reduced computational cost, since the connection weights require no learning.
Miguel Atencia, Ruxandra Stoean, Gonzalo Joya   +2 more
doaj   +1 more source

Bidirectional deep-readout echo state networks

, 2018
We propose a deep architecture for the classification of multivariate time series. By means of a recurrent and untrained reservoir we generate a vectorial representation that embeds temporal relationships in the data.
Bianchi, Filippo Maria, Jenssen, Robert, Løkse, Sigurd, Scardapane, Simone   +3 more
core  

Loschmidt echo, emerging dual unitarity and scaling of generalized temporal entropies after quenches to the critical point [PDF]

Quantum
We show how the Loschmidt echo of a product state after a quench to a conformal invariant critical point and its leading finite time corrections can be predicted by using conformal field theories (CFT).
Stefano Carignano, Luca Tagliacozzo
doaj   +1 more source

Echo State Learning for Wireless Virtual Reality Resource Allocation in UAV-enabled LTE-U Networks

, 2017
In this paper, the problem of resource management is studied for a network of wireless virtual reality (VR) users communicating using an unmanned aerial vehicle (UAV)-enabled LTE-U network.
Chen, Mingzhe, Saad, Walid, Yin, Changchuan   +2 more
core   +1 more source

Integer Echo State Networks: Hyperdimensional Reservoir Computing

, 2018
We propose an approximation of Echo State Networks (ESN) that can be efficiently implemented on digital hardware based on the mathematics of hyperdimensional computing.
Frady, Edward Paxon, Kleyko, Denis, Osipov, Evgeny   +2 more
core  

Electron Spin Coherences in Rare-Earth Optically Excited States for Microwave to Optical Quantum Transducers

, 2018
Efficient and reversible optical to microwave coherent transducers are required to enable entanglement transfer between superconducting qubits and light for quantum networks.
Cone, Rufus L., Goldner, Philippe, Lauk, Nikolai, Simon, Christoph, Thiel, Charles W., Welinski, Sacha, Woodburn, Philip J. T.   +6 more
core   +3 more sources

Enhancing African market predictions: Integrating quantum computing with Echo State Networks

Scientific African
The integration of Quantum Computing into Echo State Networks (ESN) materializes in the form of the Quantum Echo State Network (QESN), a methodological innovation that reshapes predictive analytics within the domain of artificial intelligence.
Soukaina Seddik, Hayat Routaib, Abdelali Elmounadi, Anass El Haddadi   +3 more
doaj   +1 more source

A Comparative Study of Reservoir Computing for Temporal Signal Processing [PDF]

, 2014
Reservoir computing (RC) is a novel approach to time series prediction using recurrent neural networks. In RC, an input signal perturbs the intrinsic dynamics of a medium called a reservoir.
Banda, Peter, Goudarzi, Alireza, Lakin, Matthew R., Stefanovic, Darko, Teuscher, Christof   +4 more
core   +2 more sources

Investigating the Surrogate Modeling Capabilities of Continuous Time Echo State Networks

Mathematical and Computational Applications
Continuous Time Echo State Networks (CTESNs) are a promising yet under-explored surrogate modeling technique for dynamical systems, particularly those governed by stiff Ordinary Differential Equations (ODEs).
Saakaar Bhatnagar
doaj   +1 more source