On the design of dynamic associative neural memories
Savran, M. E.
IEEE Transactions on Neural Networks
489 - 492
Item Usage Stats
MetadataShow full item record
We consider the design problem for a class of discrete-time and continuous-time neural networks. We obtain a characterization of all connection weights that store a given set of vectors into the network; that is, each given vector becomes an equilibrium point of the network. We also give sufficient conditions that guarantee the asymptotic stability of these equilibrium points.
KeywordsConvergence of numerical methods
Continuous time neural networks
Discrete time neural networks
Dynamic associative neural memories
Published Version (Please cite this version)http://dx.doi.org/10.1109/72.286920
Showing items related by title, author, creator and subject.
Yilmaz, O. (Elsevier, 2012)The world is a dynamic environment hence it is important for the visual system to be able to deploy attention on moving objects and attentively track them. Psychophysical experiments indicate that processes of both attentional ...
Aykanat, C.; Bultan, T.; Haritaoğlu, İ. (Pergamon Press, 1998)Cell placement is an important phase of current VLSI circuit design styles such as standard cell, gate array, and Field Programmable Gate Array (FPGA). Although nondeterministic algorithms such as Simulated Annealing (SA) ...
Cenk, N.; Budak, G.; Dayanik, S.; Sabuncuoglu, I. (American Scientific Publishers, 2014)In this research a prediction model for the cellular uptake efficiency of nanoparticles (NPs), which is the rate that NPs adhere to a cell surface or enter a cell, is investigated via an artificial neural network (ANN) ...