TY - JOUR
T1 - Autoassociative memory design using interconnected generalized Brain-State-in-a-Box neural networks
AU - Oh, Cheolhwan
AU - Zak, Stanislaw H.
AU - Zhai, Guisheng
PY - 2005/6
Y1 - 2005/6
N2 - A class of interconnected neural networks composed of generalized Brain-State-in-a-Box (gBSB) neural subnetworks is considered. Interconnected gBSB neural network architectures are proposed along with their stability conditions. The design of the interconnected neural networks is reduced to the problem of solving linear matrix inequalities (LMIs) to determine the interconnection parameters. A method for solving LMIs is devised generating the solutions that, in general, are further away from zero than the corresponding solutions obtained using MATLAB's LMI toolbox, thus resulting in stronger interconnections between the subnetworks. The proposed architectures are then used to construct neural associative memories. Simulations are performed to illustrate the results obtained.
AB - A class of interconnected neural networks composed of generalized Brain-State-in-a-Box (gBSB) neural subnetworks is considered. Interconnected gBSB neural network architectures are proposed along with their stability conditions. The design of the interconnected neural networks is reduced to the problem of solving linear matrix inequalities (LMIs) to determine the interconnection parameters. A method for solving LMIs is devised generating the solutions that, in general, are further away from zero than the corresponding solutions obtained using MATLAB's LMI toolbox, thus resulting in stronger interconnections between the subnetworks. The proposed architectures are then used to construct neural associative memories. Simulations are performed to illustrate the results obtained.
KW - Associative memory
KW - Brain-State-in-a-Box (BSB) neural network
KW - Interconnected neural networks
KW - Linear matrix inequalities
UR - http://www.scopus.com/inward/record.url?scp=32944465496&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=32944465496&partnerID=8YFLogxK
U2 - 10.1142/S0129065705000189
DO - 10.1142/S0129065705000189
M3 - Article
C2 - 16013089
AN - SCOPUS:32944465496
VL - 15
SP - 181
EP - 196
JO - International Journal of Neural Systems
JF - International Journal of Neural Systems
SN - 0129-0657
IS - 3
ER -