Name
Title | ||
|---|---|---|
Adding nonlinear system dynamics to Levenberg-Marquardt algorithm for neural network control |
Abstract | ||
|---|---|---|
This paper presents a procedure to add the nonlinear system dynamics to the Levenberg-Marquardt algorithm. This algorithm is used to train a Neural Network Controller without the whole knowledge of the system to be controlled. Simulation results show a correct online training of the NN Controller. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-15825-4_47 | ICANN (3) |
Keywords | Field | DocType |
correct online training,neural network control,levenberg-marquardt algorithm,whole knowledge,simulation result,neural network controller,nonlinear system dynamic,nn controller,neural network,levenberg marquardt,nonlinear system | Control theory,Nonlinear system,Computer science,Probabilistic neural network,Time delay neural network,Artificial intelligence,Neural network controller,Artificial neural network,Machine learning,Levenberg–Marquardt algorithm | Conference |
Volume | ISSN | ISBN |
6354 | 0302-9743 | 3-642-15824-2 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mikel Larrea | 1 | 267 | 30.10 |
| Eloy Irigoyen | 2 | 38 | 14.23 |
| Vicente Gómez | 3 | 0 | 0.68 |