TY - GEN
T1 - Applying SOM as a search mechanism for dynamic system
AU - Chen, Yi Yuan
AU - Young, Kuu-Young
PY - 2005/12/15
Y1 - 2005/12/15
N2 - The self-organizing map (SOM), as a kind of unsupervised neural network, has been applied for both static data management and dynamic data analysis. To further exploit Its ability in search, in this paper, we employ the SOM as a searching mechanism for dynamic system. A learning scheme, consisting mainly of the SOM and the target dynamic system, Is then proposed. The performance of this SOM-based learning scheme is especially compared with that of the genetic algorithm (GA) due to their resemblance in learning and searching. And, a new SOM weight updating rule Is proposed to enhance learning efficiency, which may dynamically adjust the neighborhood function for the SOM in learning system parameters. For demonstration, the proposed learning scheme is applied for trajectory prediction, and Its effectiveness evaluated via the simulations based on using the SOM, GA, and also Kalman filtering.
AB - The self-organizing map (SOM), as a kind of unsupervised neural network, has been applied for both static data management and dynamic data analysis. To further exploit Its ability in search, in this paper, we employ the SOM as a searching mechanism for dynamic system. A learning scheme, consisting mainly of the SOM and the target dynamic system, Is then proposed. The performance of this SOM-based learning scheme is especially compared with that of the genetic algorithm (GA) due to their resemblance in learning and searching. And, a new SOM weight updating rule Is proposed to enhance learning efficiency, which may dynamically adjust the neighborhood function for the SOM in learning system parameters. For demonstration, the proposed learning scheme is applied for trajectory prediction, and Its effectiveness evaluated via the simulations based on using the SOM, GA, and also Kalman filtering.
KW - Dynamic system
KW - Genetic algorithm
KW - Self-organizing map
KW - Trajectory prediction
UR - http://www.scopus.com/inward/record.url?scp=33847222703&partnerID=8YFLogxK
U2 - 10.1109/CDC.2005.1582806
DO - 10.1109/CDC.2005.1582806
M3 - Conference contribution
AN - SCOPUS:33847222703
SN - 0780395689
SN - 9780780395688
T3 - Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05
SP - 4111
EP - 4116
BT - Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05
T2 - 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05
Y2 - 12 December 2005 through 15 December 2005
ER -