Development of an optimization method based on the steepest ascent or descent trajectory, with a stochastic approach and time adaptive drifts: 4CP22-14
Na minha lista:
Principais autores: | Paulo Eduardo García Nava, Luis Alberto Rodríguez Picón |
---|---|
Idioma: | spa |
Publicado em: |
Instituto de Ingeniería y Tecnología - Universidad Autónoma de Ciudad Juárez
2022
|
Assuntos: | |
Acesso em linha: | http://erevistas.uacj.mx/ojs/index.php/memoriascyt/article/view/5535 |
Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|
Registros relacionados
-
The Technological Role of Steepest Ascent Optimization in Industry 4.0 Modeling
Publicado em: (2023) -
A Study of Stopping Rules in the Steepest Ascent Methodology for the Optimization of a Simulated Process
Publicado em: (2022) -
Auto-adaptive Multilayer Perceptron for Univariate Time Series Classification
Publicado em: (2021) -
A study of the Inverse Gaussian Process with hazard rate functions-based drifts applied to degradation modelling
por: Rodriguez Picon, Luis Alberto
Publicado em: (2022) -
The pedestrian trajectories derived from the barriers of the public space
por: Amanda Melissa Casillas Zapata, et al.
Publicado em: (2023)