435 related articles for article (PubMed ID: 19615855)
1. Integrated feature and parameter optimization for an evolving spiking neural network: exploring heterogeneous probabilistic models.
Schliebs S; Defoin-Platel M; Worner S; Kasabov N
Neural Netw; 2009; 22(5-6):623-32. PubMed ID: 19615855
[TBL] [Abstract][Full Text] [Related]
2. Evolutionary artificial neural networks by multi-dimensional particle swarm optimization.
Kiranyaz S; Ince T; Yildirim A; Gabbouj M
Neural Netw; 2009 Dec; 22(10):1448-62. PubMed ID: 19556105
[TBL] [Abstract][Full Text] [Related]
3. A novel information geometric approach to variable selection in MLP networks.
Eleuteri A; Tagliaferri R; Milano L
Neural Netw; 2005 Dec; 18(10):1309-18. PubMed ID: 15990274
[TBL] [Abstract][Full Text] [Related]
4. Bayesian filtering in spiking neural networks: noise, adaptation, and multisensory integration.
Bobrowski O; Meir R; Eldar YC
Neural Comput; 2009 May; 21(5):1277-320. PubMed ID: 19018706
[TBL] [Abstract][Full Text] [Related]
5. Bayesian spiking neurons I: inference.
Deneve S
Neural Comput; 2008 Jan; 20(1):91-117. PubMed ID: 18045002
[TBL] [Abstract][Full Text] [Related]
6. On the probabilistic optimization of spiking neural networks.
Schliebs S; Kasabov N; Defoin-Platel M
Int J Neural Syst; 2010 Dec; 20(6):481-500. PubMed ID: 21117271
[TBL] [Abstract][Full Text] [Related]
7. A learning rule for very simple universal approximators consisting of a single layer of perceptrons.
Auer P; Burgsteiner H; Maass W
Neural Netw; 2008 Jun; 21(5):786-95. PubMed ID: 18249524
[TBL] [Abstract][Full Text] [Related]
8. Evolving logic networks with real-valued inputs for fast incremental learning.
Park MS; Choi JY
IEEE Trans Syst Man Cybern B Cybern; 2009 Feb; 39(1):254-67. PubMed ID: 19068435
[TBL] [Abstract][Full Text] [Related]
9. Probabilistic prediction of protein-protein interactions from the protein sequences.
Chinnasamy A; Mittal A; Sung WK
Comput Biol Med; 2006 Oct; 36(10):1143-54. PubMed ID: 16253222
[TBL] [Abstract][Full Text] [Related]
10. Generation of optimal artificial neural networks using a pattern search algorithm: application to approximation of chemical systems.
Ihme M; Marsden AL; Pitsch H
Neural Comput; 2008 Feb; 20(2):573-601. PubMed ID: 18045024
[TBL] [Abstract][Full Text] [Related]
11. Globally multimodal problem optimization via an estimation of distribution algorithm based on unsupervised learning of Bayesian networks.
Peña JM; Lozano JA; Larrañaga P
Evol Comput; 2005; 13(1):43-66. PubMed ID: 15901426
[TBL] [Abstract][Full Text] [Related]
12. Comparison of a spiking neural network and an MLP for robust identification of generator dynamics in a multimachine power system.
Johnson C; Venayagamoorthy GK; Mitra P
Neural Netw; 2009; 22(5-6):833-41. PubMed ID: 19616408
[TBL] [Abstract][Full Text] [Related]
13. A novel multi-epitopic immune network model hybridized with neural theory and fuzzy concept.
Izadinia H; Sadeghi F; Ebadzadeh MM
Neural Netw; 2009; 22(5-6):633-41. PubMed ID: 19608381
[TBL] [Abstract][Full Text] [Related]
14. A high performance k-NN approach using binary neural networks.
Hodge VJ; Lees KJ; Austin JL
Neural Netw; 2004 Apr; 17(3):441-58. PubMed ID: 15037360
[TBL] [Abstract][Full Text] [Related]
15. A probabilistic Classifier System and its application in data mining.
Muruzábal J
Evol Comput; 2006; 14(2):183-221. PubMed ID: 16831106
[TBL] [Abstract][Full Text] [Related]
16. Autonomous Growing Neural Gas for applications with time constraint: optimal parameter estimation.
García-Rodríguez J; Angelopoulou A; García-Chamizo JM; Psarrou A; Orts Escolano S; Morell Giménez V
Neural Netw; 2012 Aug; 32():196-208. PubMed ID: 22386599
[TBL] [Abstract][Full Text] [Related]
17. A new supervised learning algorithm for multiple spiking neural networks with application in epilepsy and seizure detection.
Ghosh-Dastidar S; Adeli H
Neural Netw; 2009 Dec; 22(10):1419-31. PubMed ID: 19447005
[TBL] [Abstract][Full Text] [Related]
18. Intelligent initialization of resource allocating RBF networks.
Wallace M; Tsapatsoulis N; Kollias S
Neural Netw; 2005 Mar; 18(2):117-22. PubMed ID: 15795110
[TBL] [Abstract][Full Text] [Related]
19. Neural networks with multiple general neuron models: a hybrid computational intelligence approach using Genetic Programming.
Barton AJ; Valdés JJ; Orchard R
Neural Netw; 2009; 22(5-6):614-22. PubMed ID: 19604672
[TBL] [Abstract][Full Text] [Related]
20. Bayesian fluorescence in situ hybridisation signal classification.
Lerner B
Artif Intell Med; 2004 Mar; 30(3):301-16. PubMed ID: 15081077
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]