Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Y G Petalas"'
Publikováno v:
Recent Progress in Computational Sciences and Engineering
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e30450e4d0e4dd309a76e3fa2921f38f
https://doi.org/10.1201/9780429070655-106
https://doi.org/10.1201/9780429070655-106
Publikováno v:
Physics Letters A. 373:334-341
Article history: Received 5 December 2007 Received in revised form 29 September A numerical method is proposed for detecting resonances of conservative maps which reduces this task to an optimization problem. We then solve this problem using evolutio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::608ed76e1a908d5adeab856e6a1c706c
https://doi.org/10.1016/j.physleta.2008.11.035
https://doi.org/10.1016/j.physleta.2008.11.035
Publikováno v:
International Journal of Bifurcation and Chaos. 18:2249-2264
Two methodologies are presented for the numerical approximation of the "domain of stability" of nonlinear conservative maps: (a) the Evolutionary Estimation of the Domain of Stability (EEDS) and (b) the Evolutionary Frequency Optimization (EFO), opti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26b5a35556ddf930328b1797980967e8
https://doi.org/10.1142/s0218127408021683
https://doi.org/10.1142/s0218127408021683
Publikováno v:
Soft Computing. 13:77-94
Fuzzy cognitive maps constitute a neuro-fuzzy modeling methodology that can simulate complex systems accurately. Although their configuration is defined by experts, learning schemes based on evolutionary and swarm intelligence algorithms have been em
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c0bb8f9331642c0be4b4a6eacb85f68
https://doi.org/10.1007/s00500-008-0311-2
https://doi.org/10.1007/s00500-008-0311-2
Publikováno v:
Annals of Operations Research. 156:99-127
We propose a new Memetic Particle Swarm Optimization scheme that incorporates local search techniques in the standard Particle Swarm Optimization algorithm, resulting in an efficient and effective optimization method, which is analyzed theoretically.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e72edc18fd85223fe26fb16de28d7d1
https://doi.org/10.1007/s10479-007-0224-y
https://doi.org/10.1007/s10479-007-0224-y
Publikováno v:
IEEE Congress on Evolutionary Computation
The computation of periodic orbits of nonlinear mappings is very important for studying and better understanding the dynamics of complex systems. Evolutionary algorithms have shown to be an efficient alternative for the computation of periodic orbits
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2eb1374ec58b877183ffc34680d84293
https://doi.org/10.1109/cec.2007.4424724
https://doi.org/10.1109/cec.2007.4424724
Autor:
Konstantinos E. Parsopoulos, Y. G. Petalas, Peter P. Groumpos, Michael N. Vrahatis, Elpiniki I. Papageorgiou
Publikováno v:
SIS
Fuzzy cognitive maps constitute an important simulation methodology that combines neural networks and fuzzy logic. The Fuzzy cognitive maps designed by the experts can be enhanced significantly through learning algorithms, which proved to increase th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::988952090a21e1fb2b26b4801fb6b093
https://doi.org/10.1109/sis.2007.368021
https://doi.org/10.1109/sis.2007.368021
Autor:
Michael N. Vrahatis, Y. G. Petalas
Publikováno v:
2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).
The most widely used algorithm for training multilayer feedforward neural networks is backpropagation. Back-propagation is an iterative gradient descent algorithm. Since its appearance, various methods which modify the conventional BP have been creat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37afead4298bd4d5839d640bf268fe4c
https://doi.org/10.1109/ijcnn.2004.1380081
https://doi.org/10.1109/ijcnn.2004.1380081
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540221234
ICAISC
ICAISC
Training multilayer feedforward neural networks corresponds to the global minimization of the network error function. To address this problem we utilize the Snyman and Fatti [1] approach by considering a system of second order differential equations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc6c71f131cfbdfc256079cb75dc7dfd
https://doi.org/10.1007/978-3-540-24844-6_32
https://doi.org/10.1007/978-3-540-24844-6_32