A new on-line adaptive learning rate algorithm for I/O identification based on two ANNs is proposed. The algorithm is derived from the convergence analysis of the conventional gradient descent method. Simulation experiments are given to illustrate the advantages of the proposed algorithm in its application to an identification problem of some non-linear dynamic systems.
|Original language||English (US)|
|Number of pages||9|
|State||Published - Dec 1 1999|
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science Applications
- Artificial Intelligence