TY - GEN
T1 - A dynamic hierarchical fuzzy neural network for a general continuous function
AU - Wang, Wei Yen
AU - Li, I. Hsun
AU - Li, Shu Chang
AU - Tsai, Men Shen
AU - Su, Shun Feng
PY - 2008
Y1 - 2008
N2 - A serious problem limiting the applicability of the fuzzy neural networks is the "curse of dimensionality", especially for general continuous functions. A way to deal with this problem is to construct a dynamic hierarchical fuzzy neural network. In this paper, we propose a two-stage genetic algorithm to intelligently construct the dynamic hierarchical fuzzy neural network (HFNN) based on the merged-FNN for general continuous functions. First, we use a genetic algorithm which is popular for flowshop scheduling problems (GA_FSP) to construct the HFNN. Then, a reduced-form genetic algorithm (RGA) optimizes the HFNN constructed by GA_FSP. For a real-world application, the presented method is used to approximate the Taiwanese stock market.
AB - A serious problem limiting the applicability of the fuzzy neural networks is the "curse of dimensionality", especially for general continuous functions. A way to deal with this problem is to construct a dynamic hierarchical fuzzy neural network. In this paper, we propose a two-stage genetic algorithm to intelligently construct the dynamic hierarchical fuzzy neural network (HFNN) based on the merged-FNN for general continuous functions. First, we use a genetic algorithm which is popular for flowshop scheduling problems (GA_FSP) to construct the HFNN. Then, a reduced-form genetic algorithm (RGA) optimizes the HFNN constructed by GA_FSP. For a real-world application, the presented method is used to approximate the Taiwanese stock market.
KW - Fuzzy neural networks
KW - Genetic algorithms
KW - Hierarchical structures
UR - http://www.scopus.com/inward/record.url?scp=55249119295&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=55249119295&partnerID=8YFLogxK
U2 - 10.1109/FUZZY.2008.4630543
DO - 10.1109/FUZZY.2008.4630543
M3 - Conference contribution
AN - SCOPUS:55249119295
SN - 9781424418190
T3 - IEEE International Conference on Fuzzy Systems
SP - 1318
EP - 1324
BT - 2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008
T2 - 2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008
Y2 - 1 June 2008 through 6 June 2008
ER -