TY - GEN
T1 - Recurrent fuzzy CMAC in hierarchical form for dynamic system identification
AU - Rodriguez, Floriberto Ortiz
AU - Yu, Wen
AU - Moreno-Armendariz, Marco A.
PY - 2007
Y1 - 2007
N2 - The conventional fuzzy CMAC neural networks perform well in terms of their fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires an enormous memory and the dimension increase exponentially with the input number. In this paper, we use two techniques to overcome these problems: recurrent and hierarchical structures and propose a new CMAC, named Hierarchical Recurrent Fuzzy CMAC (HRFCMAC). Since the structure of HRFCMAC is very complex, the normal training methods are difficult to be applied. A new simple algorithm is given, we can train each sub-block of the hierarchical CMAC independently. A time-varying learning rate assures the learning algorithm is stable.
AB - The conventional fuzzy CMAC neural networks perform well in terms of their fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires an enormous memory and the dimension increase exponentially with the input number. In this paper, we use two techniques to overcome these problems: recurrent and hierarchical structures and propose a new CMAC, named Hierarchical Recurrent Fuzzy CMAC (HRFCMAC). Since the structure of HRFCMAC is very complex, the normal training methods are difficult to be applied. A new simple algorithm is given, we can train each sub-block of the hierarchical CMAC independently. A time-varying learning rate assures the learning algorithm is stable.
UR - http://www.scopus.com/inward/record.url?scp=46449127839&partnerID=8YFLogxK
U2 - 10.1109/ACC.2007.4282705
DO - 10.1109/ACC.2007.4282705
M3 - Contribución a la conferencia
AN - SCOPUS:46449127839
SN - 1424409888
SN - 9781424409884
T3 - Proceedings of the American Control Conference
SP - 5706
EP - 5711
BT - Proceedings of the 2007 American Control Conference, ACC
T2 - 2007 American Control Conference, ACC
Y2 - 9 July 2007 through 13 July 2007
ER -