PMID- 18779094
OWN - NLM
STAT- MEDLINE
DCOM- 20081028
LR  - 20191210
IS  - 1941-0093 (Electronic)
IS  - 1045-9227 (Linking)
VI  - 19
IP  - 9
DP  - 2008 Sep
TI  - A hybrid ART-GRNN online learning neural network with a epsilon -insensitive loss 
      function.
PG  - 1641-6
LID - 10.1109/TNN.2008.2000992 [doi]
AB  - In this brief, a new neural network model called generalized adaptive resonance 
      theory (GART) is introduced. GART is a hybrid model that comprises a modified 
      Gaussian adaptive resonance theory (MGA) and the generalized regression neural 
      network (GRNN). It is an enhanced version of the GRNN, which preserves the online 
      learning properties of adaptive resonance theory (ART). A series of empirical 
      studies to assess the effectiveness of GART in classification, regression, and 
      time series prediction tasks is conducted. The results demonstrate that GART is 
      able to produce good performances as compared with those of other methods, 
      including the online sequential extreme learning machine (OSELM) and sequential 
      learning radial basis function (RBF) neural network models.
FAU - Yap, Keem Siah
AU  - Yap KS
AD  - College of Engineering, Universiti Tenaga Nasional, Selangor, Malaysia. 
      yapkeem@uniten.edu.my
FAU - Lim, Chee Peng
AU  - Lim CP
FAU - Abidin, Izham Zainal
AU  - Abidin IZ
LA  - eng
PT  - Journal Article
PL  - United States
TA  - IEEE Trans Neural Netw
JT  - IEEE transactions on neural networks
JID - 101211035
SB  - IM
MH  - *Algorithms
MH  - Artificial Intelligence
MH  - Computer Simulation
MH  - *Models, Theoretical
MH  - *Neural Networks, Computer
MH  - *Online Systems
MH  - Pattern Recognition, Automated/*methods
EDAT- 2008/09/10 09:00
MHDA- 2008/10/29 09:00
CRDT- 2008/09/10 09:00
PHST- 2008/09/10 09:00 [pubmed]
PHST- 2008/10/29 09:00 [medline]
PHST- 2008/09/10 09:00 [entrez]
AID - 10.1109/TNN.2008.2000992 [doi]
PST - ppublish
SO  - IEEE Trans Neural Netw. 2008 Sep;19(9):1641-6. doi: 10.1109/TNN.2008.2000992.