Convergent Newton method and neural network for the electric energy usage prediction
From MaRDI portal
Publication:6149505
DOI10.1016/j.ins.2021.11.038OpenAlexW3215883727WikidataQ114666900 ScholiaQ114666900MaRDI QIDQ6149505
José de Jesús Rubio, David Ricardo Cruz, Enrique García, Genaro Ochoa, Jaime Pacheco, Marco Antonio Islas
Publication date: 5 February 2024
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2021.11.038
Numerical optimization and variational techniques (65K10) Learning and adaptive systems in artificial intelligence (68T05)
Cites Work
- Interval type-2 fuzzy weight adjustment for backpropagation neural networks with application in time series prediction
- Adaptive distributed convex optimization for multi-agent and its application in flocking behavior
- Gradient-based optimizer: a new metaheuristic optimization algorithm
- Design of stabilized polynomial-based ensemble fuzzy neural networks based on heterogeneous neurons and synergy of multiple techniques
- Distributed adaptive security consensus control for a class of multi-agent systems under network decay and intermittent attacks
- A noise-suppressing Newton-Raphson iteration algorithm for solving the time-varying Lyapunov equation and robotic tracking problems
- Robust unsupervised domain adaptation for neural networks via moment alignment
- Neural network approach for solving nonsingular multi-linear tensor systems
This page was built for publication: Convergent Newton method and neural network for the electric energy usage prediction
