532 related articles for article (PubMed ID: 11852443)
21. The simultaneous recurrent neural network for addressing the scaling problem in static optimization.
Serpen G; Patwardhan A; Geib J
Int J Neural Syst; 2001 Oct; 11(5):477-87. PubMed ID: 11709814
[TBL] [Abstract][Full Text] [Related]
22. Neural-fitted TD-leaf learning for playing Othello with structured neural networks.
van den Dries S; Wiering MA
IEEE Trans Neural Netw Learn Syst; 2012 Nov; 23(11):1701-13. PubMed ID: 24808066
[TBL] [Abstract][Full Text] [Related]
23. A hierarchical method for finding optimal architecture and weights using evolutionary least square based learning.
Ghosh R; Verma B
Int J Neural Syst; 2003 Feb; 13(1):13-24. PubMed ID: 12638120
[TBL] [Abstract][Full Text] [Related]
24. New learning automata based algorithms for adaptation of backpropagation algorithm parameters.
Meybodi MR; Beigy H
Int J Neural Syst; 2002 Feb; 12(1):45-67. PubMed ID: 11852444
[TBL] [Abstract][Full Text] [Related]
25. Recent advances in the MOBJ algorithm for training artificial neural networks.
Teixeira RD; Braga AP; Takahashi RH; Saldanha RR
Int J Neural Syst; 2001 Jun; 11(3):265-70. PubMed ID: 11574964
[TBL] [Abstract][Full Text] [Related]
26. A medical diagnostic tool based on radial basis function classifiers and evolutionary simulated annealing.
Alexandridis A; Chondrodima E
J Biomed Inform; 2014 Jun; 49():61-72. PubMed ID: 24662274
[TBL] [Abstract][Full Text] [Related]
27. Diagnosis of Malignancy in Thyroid Tumors by Multi-Layer Perceptron Neural Networks With Different Batch Learning Algorithms.
Pourahmad S; Azad M; Paydar S
Glob J Health Sci; 2015 Mar; 7(6):46-54. PubMed ID: 26153161
[TBL] [Abstract][Full Text] [Related]
28. Speeding up backpropagation using multiobjective evolutionary algorithms.
Abbass HA
Neural Comput; 2003 Nov; 15(11):2705-26. PubMed ID: 14577859
[TBL] [Abstract][Full Text] [Related]
29. Single-hidden-layer feed-forward quantum neural network based on Grover learning.
Liu CY; Chen C; Chang CT; Shih LM
Neural Netw; 2013 Sep; 45():144-50. PubMed ID: 23545155
[TBL] [Abstract][Full Text] [Related]
30. Artificial neuron-glia networks learning approach based on cooperative coevolution.
Mesejo P; Ibáñez O; Fernández-Blanco E; Cedrón F; Pazos A; Porto-Pazos AB
Int J Neural Syst; 2015 Jun; 25(4):1550012. PubMed ID: 25843127
[TBL] [Abstract][Full Text] [Related]
31. A new synthesis approach for feedback neural networks based on the perceptron training algorithm.
Liu D; Lu Z
IEEE Trans Neural Netw; 1997; 8(6):1468-82. PubMed ID: 18255748
[TBL] [Abstract][Full Text] [Related]
32. Statistical process control using optimized neural networks: a case study.
Addeh J; Ebrahimzadeh A; Azarbad M; Ranaee V
ISA Trans; 2014 Sep; 53(5):1489-99. PubMed ID: 24210290
[TBL] [Abstract][Full Text] [Related]
33. A neural-network learning theory and a polynomial time RBF algorithm.
Roy A; Govil S; Miranda R
IEEE Trans Neural Netw; 1997; 8(6):1301-13. PubMed ID: 18255732
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. A one-layer recurrent neural network for constrained nonsmooth invex optimization.
Li G; Yan Z; Wang J
Neural Netw; 2014 Feb; 50():79-89. PubMed ID: 24292024
[TBL] [Abstract][Full Text] [Related]
36. Biological engineering applications of feedforward neural networks designed and parameterized by genetic algorithms.
Ferentinos KP
Neural Netw; 2005 Sep; 18(7):934-50. PubMed ID: 15963690
[TBL] [Abstract][Full Text] [Related]
37. An improvement of extreme learning machine for compact single-hidden-layer feedforward neural networks.
Huynh HT; Won Y; Kim JJ
Int J Neural Syst; 2008 Oct; 18(5):433-41. PubMed ID: 18991365
[TBL] [Abstract][Full Text] [Related]
38. Binary neural network training algorithms based on linear sequential learning.
Wang D; Chaudhari NS
Int J Neural Syst; 2003 Oct; 13(5):333-51. PubMed ID: 14652874
[TBL] [Abstract][Full Text] [Related]
39. Metamodeling and the Critic-based approach to multi-level optimization.
Werbos L; Kozma R; Silva-Lugo R; Pazienza GE; Werbos PJ
Neural Netw; 2012 Aug; 32():179-85. PubMed ID: 22386785
[TBL] [Abstract][Full Text] [Related]
40. An improved genetic algorithm based fuzzy-tuned neural network.
Ling SH; Leung FH; Lam HK
Int J Neural Syst; 2005 Dec; 15(6):457-74. PubMed ID: 16385635
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
