Zobrazeno 1 - 9
of 9
pro vyhledávání: '"C.-Y. Maa"'
Publikováno v:
IEEE Transactions on Neural Networks. 2:418-426
All analytical examination of the energy function associated with a dynamic programming neural network is presented. The analysis is carried out in two steps. First, the locations and numbers of the minimum states for different components of the ener
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f77f596d5d212479641df1ecde166e15
https://doi.org/10.1109/72.88161
https://doi.org/10.1109/72.88161
Autor:
M.A. Shanblatt, C.-Y. Maa
Publikováno v:
Proceedings of the 32nd Midwest Symposium on Circuits and Systems.
It is shown that from the viewpoint of optimization theory a proper form of the Tank-Hopfield network for linear programming may be considered as a means to fulfil the Kuhn-Tucker optimality conditions. Due to the nature of the network, however, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e3733c4b74478d598123d742b0c67d8
https://doi.org/10.1109/mwscas.1989.101963
https://doi.org/10.1109/mwscas.1989.101963
Publikováno v:
IEEE International Symposium on Circuits and Systems.
A linear programming neural network is extended to quadratic programming problems with both linear equality and inequality constraints. It is shown that the equilibrium of the quadratic programming network is asymptotically stable and is in the neigh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c26ecea27f957c651e2d62bf545ba30
https://doi.org/10.1109/iscas.1990.112628
https://doi.org/10.1109/iscas.1990.112628
Autor:
M.A. Schanblatt, C.-Y. Maa
Publikováno v:
IEEE transactions on neural networks. 3(6)
A novel two-phase neural network that is suitable for solving a large class of constrained or unconstrained optimization problem is presented. For both types of problems with solutions lying in the interior of the feasible regions, the phase-one stru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5682a2b3815b3ac48f8ca88acce1168
https://pubmed.ncbi.nlm.nih.gov/18276497
https://pubmed.ncbi.nlm.nih.gov/18276497
Autor:
C.-Y. Maa, M.A. Shanblatt
Publikováno v:
IEEE transactions on neural networks. 3(4)
Neural networks for linear and quadratic programming are analyzed. The network proposed by M.P. Kennedy and L.O. Chua (IEEE Trans. Circuits Syst., vol.35, pp.554-562, May 1988) is justified from the viewpoint of optimization theory and the technique
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2614b1b3d66a82b4698f98de125f57f1
https://pubmed.ncbi.nlm.nih.gov/18276458
https://pubmed.ncbi.nlm.nih.gov/18276458
Autor:
M.A. Shanblatt, C.-Y. Maa
Publikováno v:
IJCNN
Presents an analysis of the stability properties of a linear-programming neural network used for minimizing a linear cost function under the constraint that the feasible region is a hypercube in R n, i.e. [0,1]n. A properly designed neural network st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::665b7ea2884595c63fb9981d30b34a8f
https://doi.org/10.1109/ijcnn.1990.137929
https://doi.org/10.1109/ijcnn.1990.137929
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