Name
Title | ||
|---|---|---|
Bio-Inspired Optimization to Improve Neural Identifiers for Discrete-Time Nonlinear Systems |
Abstract | ||
|---|---|---|
This work aims to apply metaheuristic optimization, offered by bio-inspired algorithms, to enhance the behavior of neural identifiers for unknown nonlinear systems in discrete-time whose model, for this purpose, is assumed unknown. Due to this fact, a new and efficient training algorithm based on the UKF approach is used in combination with the bio-inspired algorithms that are used in order to tun... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CCE53527.2021.9633039 | 2021 18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) |
Keywords | DocType | ISBN |
Training,Biological system modeling,Sociology,Metaheuristics,Filtering algorithms,Electrical engineering computing,Manipulators | Conference | 978-1-6654-0029-9 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. Felipe Guerra | 1 | 0 | 0.34 |
| Ramon Garcia-Hernandez | 2 | 0 | 0.34 |
| Miguel A. Llama | 3 | 0 | 0.34 |