-
1
-
-
0036275180
-
An evolutionary artificial neural networks approach for breast cancer diagnosis
-
H. A. Abbass. An evolutionary artificial neural networks approach for breast cancer diagnosis. Artificial Intelligence in Medicine, 25(3):265-281, 2002.
-
(2002)
Artificial Intelligence In Medicine
, vol.25
, Issue.3
, pp. 265-281
-
-
Abbass, H.A.1
-
2
-
-
0141542628
-
Speeding up backpropagation using multiobjective evolutionary algorithms
-
H. A. Abbass. Speeding up backpropagation using multiobjective evolutionary algorithms. Neural Computation, 15(11):2705-2726, 2003.
-
(2003)
Neural Computation
, vol.15
, Issue.11
, pp. 2705-2726
-
-
Abbass, H.A.1
-
3
-
-
0033485371
-
A distributed model of the saccade system: Simulations of temporally perturbed saccades using position and velocity feedback
-
K. Arai, S. Das, E. L. Keller, and E. Aiyoshi. A distributed model of the saccade system: simulations of temporally perturbed saccades using position and velocity feedback. Neural Networks, 12:1359-1375, 1999.
-
(1999)
Neural Networks
, vol.12
, pp. 1359-1375
-
-
Arai, K.1
Das, S.2
Keller, E.L.3
Aiyoshi, E.4
-
4
-
-
0142086919
-
Towards a neurally-inspired computer architecture
-
M. A. Arbib. Towards a neurally-inspired computer architecture. Natural Computing, 2(1):1-46, 2003.
-
(2003)
Natural Computing
, vol.2
, Issue.1
, pp. 1-46
-
-
Arbib, M.A.1
-
6
-
-
0038355078
-
Evolving efficient learning algorithms for binary mappings
-
J. A. Bullinaria. Evolving efficient learning algorithms for binary mappings. Neural Networks, 16:793-800, 2003.
-
(2003)
Neural Networks
, vol.16
, pp. 793-800
-
-
Bullinaria, J.A.1
-
9
-
-
0033359368
-
Evolution, neural networks, games, and intelligence
-
K. Chellapilla and D. B. Fogel. Evolution, neural networks, games, and intelligence. Proceedings of the IEEE, 87(9):1471-1496, 1999.
-
(1999)
Proceedings of the IEEE
, vol.87
, Issue.9
, pp. 1471-1496
-
-
Chellapilla, K.1
Fogel, D.B.2
-
11
-
-
0031212567
-
A closer look at drawbacks of minimizing weighted sums of objectives for pareto set generation in multicriteria optimization problems
-
I. Das and J. E. Dennis. A closer look at drawbacks of minimizing weighted sums of objectives for pareto set generation in multicriteria optimization problems. Structural Optimization, 14(1):63-69, 1997.
-
(1997)
Structural Optimization
, vol.14
, Issue.1
, pp. 63-69
-
-
Das, I.1
Dennis, J.E.2
-
14
-
-
0036993130
-
Genetic algorithms and support vector machines for time series classification
-
B. Bosacchi et al., editors, Proceedings of the SPIE
-
D. R. Eads, D. Hill, S. Davis, S. J. Perkins, J. Ma, R. B. Porter, and J. P. Theiler. Genetic algorithms and support vector machines for time series classification. In B. Bosacchi et al., editors, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation V., volume 4787 of Proceedings of the SPIE, pages 74-85, 2002.
-
(2002)
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation V
, vol.4787
, pp. 74-85
-
-
Eads, D.R.1
Hill, D.2
Davis, S.3
Perkins, S.J.4
Ma, J.5
Porter, R.B.6
Theiler, J.P.7
-
16
-
-
21244455604
-
A self-learning evolutionary chess program
-
D. B. Fogel, T. J. Hays, S. L. Hahn, and J. Quon. A self-learning evolutionary chess program. Proceedings of the IEEE, 92(12):1947-1954, 2004.
-
(2004)
Proceedings of the IEEE
, vol.92
, Issue.12
, pp. 1947-1954
-
-
Fogel, D.B.1
Hays, T.J.2
Hahn, S.L.3
Quon, J.4
-
18
-
-
24344437091
-
Evolutionary tuning of multiple SVM parameters
-
In M. Verleysen, editor, (ESANN 2004), Evere, Belgium: d-side publications
-
F. Friedrichs and C. Igel. Evolutionary tuning of multiple SVM parameters. In M. Verleysen, editor, 12th European Symposium on Artificial Neural Networks (ESANN 2004), pages 519-524. Evere, Belgium: d-side publications, 2004.
-
(2004)
12th European Symposium On Artificial Neural Networks
, pp. 519-524
-
-
Friedrichs, F.1
Igel, C.2
-
19
-
-
0344235442
-
Feature selection for support vector machines by means of genetic algorithms
-
15th IEEE International Conference on Tools with AI (ICTAI 2003)
-
H. Fröhlich, O. Chapelle, and B. Schölkopf. Feature selection for support vector machines by means of genetic algorithms. In 15th IEEE International Conference on Tools with AI (ICTAI 2003), pages 142-148. IEEE Computer Society, 2003.
-
(2003)
IEEE Computer Society
, pp. 142-148
-
-
Fröhlich, H.1
Chapelle, O.2
Schölkopf, B.3
-
20
-
-
0019152630
-
Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
-
K. Fukushima. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position. Biological Cybernetics, 39:139-202, 1980.
-
(1980)
Biological Cybernetics
, vol.39
, pp. 139-202
-
-
Fukushima, K.1
-
22
-
-
84886994678
-
Efficient evolutionary optimization using individualbased evolution control and neural networks: A comparative study
-
(ESANN 2005)
-
L. Graening, Y. Jin, and B. Sendhoff. Efficient evolutionary optimization using individualbased evolution control and neural networks: A comparative study. In 13th European Symposium on Artificial Neural Networks (ESANN 2005), 2005.
-
(2005)
13th European Symposium On Artificial Neural Networks
-
-
Graening, L.1
Jin, Y.2
Sendhoff, B.3
-
24
-
-
84977058391
-
Automatic definition of modular neural networks
-
F. Gruau. Automatic definition of modular neural networks. Adaptive Behavior, 3(2):151-183, 1995.
-
(1995)
Adaptive Behavior
, vol.3
, Issue.2
, pp. 151-183
-
-
Gruau, F.1
-
25
-
-
0012963758
-
Optimization for problem classes - neural networks that learn to learn
-
In X.Yao, editor, IEEE Press
-
M. Hüsken, J. E. Gayko, and B. Sendhoff. Optimization for problem classes - neural networks that learn to learn. In X.Yao, editor, IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks. IEEE Press, 2000. 98-109.
-
(2000)
IEEE Symposium On Combinations of Evolutionary Computation and Neural Networks
, pp. 98-109
-
-
Hüsken, M.1
Gayko, J.E.2
Sendhoff, B.3
-
26
-
-
0036768801
-
Task-dependent evolution of modularity in neural networks
-
M. Hüsken, C. Igel, and M. Toussaint. Task-dependent evolution of modularity in neural networks. Connection Science, 14(3):219-229, 2002.
-
(2002)
Connection Science
, vol.14
, Issue.3
, pp. 219-229
-
-
Hüsken, M.1
Igel, C.2
Toussaint, M.3
-
27
-
-
21144448571
-
Structure optimization of neural networks for aerodynamic optimization
-
M. Hüsken, Y. Jin, and B. Sendhoff. Structure optimization of neural networks for aerodynamic optimization. Soft Computing, 9(1):21-28, 2005.
-
(2005)
Soft Computing
, vol.9
, Issue.1
, pp. 21-28
-
-
Hüsken, M.1
Jin, Y.2
Sendhoff, B.3
-
28
-
-
84901411269
-
Neuroevolution for reinforcement learning using evolution strategies
-
In R. Sarker et al., editors, (CEC 2003), IEEE Press
-
C. Igel. Neuroevolution for reinforcement learning using evolution strategies. In R. Sarker et al., editors, Congress on Evolutionary Computation (CEC 2003), volume 4, pages 2588-2595. IEEE Press, 2003.
-
(2003)
Congress On Evolutionary Computation
, vol.4
, pp. 2588-2595
-
-
Igel, C.1
-
29
-
-
24344435631
-
Multiobjective model selection for support vector machines
-
In C. A. Coello Coello et al., editors, (EMO 2005), of LNAI, Springer- Verlag
-
C. Igel. Multiobjective model selection for support vector machines. In C. A. Coello Coello et al., editors, Proceedings of the Third International Conference on Evolutionary Multi- Criterion Optimization (EMO 2005), volume 3410 of LNAI, pages 534-546. Springer- Verlag, 2005.
-
(2005)
Proceedings of the Third International Conference On Evolutionary Multi- Criterion Optimization
, vol.3410
, pp. 534-546
-
-
Igel, C.1
-
30
-
-
0242383449
-
Operator adaptation in evolutionary computation and its application to structure optimization of neural networks
-
C. Igel and M. Kreutz. Operator adaptation in evolutionary computation and its application to structure optimization of neural networks. Neurocomputing, 55(1-2):347-361, 2003.
-
(2003)
Neurocomputing
, vol.55
, Issue.1-2
, pp. 347-361
-
-
Igel, C.1
Kreutz, M.2
-
32
-
-
0036068286
-
Evolving field models for inhibition effects in early vision
-
C. Igel, W. von Seelen, W. Erlhagen, and D. Jancke. Evolving field models for inhibition effects in early vision. Neurocomputing, 44-46(C):467-472, 2002.
-
(2002)
Neurocomputing
, vol.44-46
, Issue.C
, pp. 467-472
-
-
Igel, C.1
von Seelen, W.2
Erlhagen, W.3
Jancke, D.4
-
33
-
-
15844400229
-
Evolutionary optimization of neural systems: The use of self-adptation
-
In M. G. de Bruin et al., editors, Birkhäuser Verlag, In press
-
C. Igel, S. Wiegand, and F. Friedrichs. Evolutionary optimization of neural systems: The use of self-adptation. In M. G. de Bruin et al., editors, Trends and Applications in Constructive Approximation, number 151 in International Series of Numerical Mathematics. Birkhäuser Verlag, 2005. In press.
-
(2005)
Trends and Applications In Constructive Approximation, Number 151 In International Series of Numerical Mathematics
-
-
Igel, C.1
Wiegand, S.2
Friedrichs, F.3
-
34
-
-
24944530101
-
Rigorous runtime analysis of the (1+1) ES: 1/5-rule and ellipsoidal fitness landscapes
-
LNCS. Springer- Verlag
-
J. Jäagersküpper. Rigorous runtime analysis of the (1+1) ES: 1/5-rule and ellipsoidal fitness landscapes. In Foundations of Genetic Algorithms (FOGA VIII), LNCS. Springer- Verlag, 2005.
-
(2005)
Foundations of Genetic Algorithms (FOGA VIII)
-
-
Jäagersküpper, J.1
-
35
-
-
21144433756
-
A comprehensive survey of fitness approximation in evolutionary computation
-
Y. Jin. A comprehensive survey of fitness approximation in evolutionary computation. Soft Computing, 9(1):3-12, 2005.
-
(2005)
Soft Computing
, vol.9
, Issue.1
, pp. 3-12
-
-
Jin, Y.1
-
36
-
-
4344623228
-
Neural network regularization and ensembling using multi-objective evolutionary algorithms
-
IEEE Press
-
Y. Jin, T. Okabe, and B. Sendhoff. Neural network regularization and ensembling using multi-objective evolutionary algorithms. In Congress on Evolutionary Computation (CEC'04), pages 1-8. IEEE Press, 2004.
-
(2004)
Congress On Evolutionary Computation (CEC'04)
, pp. 1-8
-
-
Jin, Y.1
Okabe, T.2
Sendhoff, B.3
-
37
-
-
0036808455
-
A framework for evolutionary optimization with approximate fitness functions
-
Y. Jin, M. Olhofer, and B. Sendhoff. A framework for evolutionary optimization with approximate fitness functions. IEEE Transactions on Evolutionary Computation, 6(5):481-494, 2002.
-
(2002)
IEEE Transactions On Evolutionary Computation
, vol.6
, Issue.5
, pp. 481-494
-
-
Jin, Y.1
Olhofer, M.2
Sendhoff, B.3
-
38
-
-
35048830447
-
Reducing fitness evaluations using clustering techniques and neural network ensembles
-
In K. Deb et al., editors, of, LNCS, Springer
-
Y. Jin and B. Sendhoff. Reducing fitness evaluations using clustering techniques and neural network ensembles. In K. Deb et al., editors, Proceedings of the Genetic and Evolutionary Computation Conference - GECCO, volume 1 of LNCS, pages 688-699. Springer, 2004.
-
(2004)
Proceedings of the Genetic and Evolutionary Computation Conference - GECCO
, vol.1
, pp. 688-699
-
-
Jin, Y.1
Sendhoff, B.2
-
39
-
-
35048820555
-
Analysis of proteomic pattern data for cancer detection
-
In G. R. Raidl et al., editors, LNCS, Springer-Verlag
-
K. Jong, E. Marchiori, and A. van der Vaart. Analysis of proteomic pattern data for cancer detection. In G. R. Raidl et al., editors, Applications of Evolutionary Computing, number 3005 in LNCS, pages 41-51. Springer-Verlag, 2004.
-
(2004)
Applications of Evolutionary Computing
, vol.3005
, pp. 41-51
-
-
Jong, K.1
Marchiori, E.2
van der Vaart, A.3
-
40
-
-
0021042386
-
Computational modeling of evolutionary learning processes in the brain
-
R. R. Kampfner and M. Conrad. Computational modeling of evolutionary learning processes in the brain. Bulletin of Mathematical Biology, 45(6):931-968, 1983.
-
(1983)
Bulletin of Mathematical Biology
, vol.45
, Issue.6
, pp. 931-968
-
-
Kampfner, R.R.1
Conrad, M.2
-
41
-
-
84887011679
-
Efficient reinforcement learning through evolutionary acquisition of neural topologies
-
(ESANN 2005)
-
Y. Kassahun and G. Sommer. Efficient reinforcement learning through evolutionary acquisition of neural topologies. In 13th European Symposium on Artificial Neural Networks (ESANN 2005), 2005.
-
(2005)
13th European Symposium On Artificial Neural Networks
-
-
Kassahun, Y.1
Sommer, G.2
-
42
-
-
0002933170
-
Designing neural networks using genetic algorithms with graph generation system
-
H. Kitano. Designing neural networks using genetic algorithms with graph generation system. Complex Systems, 4:461-476, 1990.
-
(1990)
Complex Systems
, vol.4
, pp. 461-476
-
-
Kitano, H.1
-
44
-
-
0034739052
-
Automatic design and manufacture of robotic lifeforms
-
H. Lipson and J. B. Pollack. Automatic design and manufacture of robotic lifeforms. Nature, 406:974-978, 2000.
-
(2000)
Nature
, vol.406
, pp. 974-978
-
-
Lipson, H.1
Pollack, J.B.2
-
45
-
-
0034315099
-
Evolutionary ensembles with negative correlation learning
-
Y. Liu, X. Yao, and T. Higuchi. Evolutionary ensembles with negative correlation learning. IEEE Transactions on Evolutionary Computation, 4(4):380-387, 2000.
-
(2000)
IEEE Transactions On Evolutionary Computation
, vol.4
, Issue.4
, pp. 380-387
-
-
Liu, Y.1
Yao, X.2
Higuchi, T.3
-
46
-
-
0031557885
-
What exactly are genomes, genotypes and phenotypes? And what about phenomes?
-
M. Mahner and M. Kary. What exactly are genomes, genotypes and phenotypes? And what about phenomes? Journal of Theoretical Biology, 186(1):55-63, 1997.
-
(1997)
Journal of Theoretical Biology
, vol.186
, Issue.1
, pp. 55-63
-
-
Mahner, M.1
Kary, M.2
-
47
-
-
4344594113
-
A decision making framework for game playing using evolutionary optimization and learning
-
In Y. Shi, editor, IEEE Press
-
A. Mark, H. Wersing, and B. Sendhoff. A decision making framework for game playing using evolutionary optimization and learning. In Y. Shi, editor, Congress on Evolutionary Computation (CEC), volume 1, pages 373-380. IEEE Press, 2004.
-
(2004)
Congress On Evolutionary Computation (CEC)
, vol.1
, pp. 373-380
-
-
Mark, A.1
Wersing, H.2
Sendhoff, B.3
-
49
-
-
0041780746
-
Feature selection for computer-aided polyp detection using genetic algorithms
-
In A. V. Clough and A. A. Amini, editors
-
M. T. Miller, A. K. Jerebko, J. D. Malley, and R. M. Summers. Feature selection for computer-aided polyp detection using genetic algorithms. In A. V. Clough and A. A. Amini, editors, Medical Imaging 2003: Physiology and Function: Methods, Systems, and Applications, volume 5031 of Proceedings of the SPIE, pages 102-110, 2003.
-
(2003)
Medical Imaging 2003: Physiology and Function: Methods, Systems, and Applications
, vol.5031
, pp. 102-110
-
-
Miller, M.T.1
Jerebko, A.K.2
Malley, J.D.3
Summers, R.M.4
-
51
-
-
15844370967
-
Evolution and learning in neural networks
-
In M. A. Arbib, editor, MIT Press, 2 edition
-
S. Nolfi. Evolution and learning in neural networks. In M. A. Arbib, editor, The Handbook of Brain Theory and Neural Networks, pages 415-418. MIT Press, 2 edition, 2002.
-
(2002)
The Handbook of Brain Theory and Neural Networks
, pp. 415-418
-
-
Nolfi, S.1
-
52
-
-
0003655029
-
Evolutionary Robotics: The Biology, Intelligence, and Techno logy of Self-Organizing Machines
-
MIT Press
-
S. Nolfi and D. Floreano. Evolutionary Robotics: The Biology, Intelligence, and Techno logy of Self-Organizing Machines. Intelligent Robotics and Autonomous Agents. MIT Press, 2000.
-
(2000)
Intelligent Robotics and Autonomous Agents
-
-
Nolfi, S.1
Floreano, D.2
-
53
-
-
20444408205
-
Staged training of neocognitron by evolutionary algorithms
-
In P. J. Angeline et al., editors, IEEE Press
-
Z. Pan, T. Sabisch, R. Adams, and H. Bolouri. Staged training of neocognitron by evolutionary algorithms. In P. J. Angeline et al., editors, Proceedings of the Congress on Evolutionary Computation, volume 3, pages 1965-1972. IEEE Press, 1999.
-
(1999)
Proceedings of the Congress On Evolutionary Computation
, vol.3
, pp. 1965-1972
-
-
Pan, Z.1
Sabisch, T.2
Adams, R.3
Bolouri, H.4
-
54
-
-
0033308511
-
Optimization of large-scale 3D trusses using evolution strategies and neural networks
-
M. Papadrakakis, N. Lagaros, and Y. Tsompanakis. Optimization of large-scale 3D trusses using evolution strategies and neural networks. International Journal of Space Structures, 14(3):211-223, 1999.
-
(1999)
International Journal of Space Structures
, vol.14
, Issue.3
, pp. 211-223
-
-
Papadrakakis, M.1
Lagaros, N.2
Tsompanakis, Y.3
-
55
-
-
0035673951
-
Robot control and the evolution of modular neurodynamics
-
F. Pasemann, U. Steinmetz, M. Hülse, and B. Lara. Robot control and the evolution of modular neurodynamics. Theory in Biosciences, 120(3-4):311-326, 2001.
-
(2001)
Theory In Biosciences
, vol.120
, Issue.3-4
, pp. 311-326
-
-
Pasemann, F.1
Steinmetz, U.2
Hülse, M.3
Lara, B.4
-
57
-
-
0032819422
-
Turbomachinery blade design using a Navier-Stokes solver and artificial neural network
-
S. Pierret. Turbomachinery blade design using a Navier-Stokes solver and artificial neural network. ASME Journal of Turbomachinery, 121(3):326-332, 1999.
-
(1999)
ASME Journal of Turbomachinery
, vol.121
, Issue.3
, pp. 326-332
-
-
Pierret, S.1
-
58
-
-
0034664164
-
On the design of neural networks in the brain by genetic evolution
-
E. T. Rolls and S. M. Stringer. On the design of neural networks in the brain by genetic evolution. Progress in Neurobiology, 6(61):557-579, 2000.
-
(2000)
Progress In Neurobiology
, vol.6
, Issue.61
, pp. 557-579
-
-
Rolls, E.T.1
Stringer, S.M.2
-
61
-
-
35048901563
-
Coupling of evolution and learning to optimize a hierarchical object recognition model
-
In X. Yao et al., editors, Springer Verlag, LNCS
-
G. Schneider, H. Wersing, B. Sendhoff, and E. Körner. Coupling of evolution and learning to optimize a hierarchical object recognition model. In X. Yao et al., editors, Parallel Problem Solving from Nature (PPSN), LNCS, pages 662-671. Springer Verlag, 2004.
-
(2004)
Parallel Problem Solving From Nature (PPSN)
, pp. 662-671
-
-
Schneider, G.1
Wersing, H.2
Sendhoff, B.3
Körner, E.4
-
62
-
-
84887002160
-
Evolutionary optimization of an hierarchical object recognition model
-
Accepted
-
G. Schneider, H. Wersing, B. Sendhoff, and E. Körner. Evolutionary optimization of an hierarchical object recognition model. IEEE Transactions on Systems, Man and Cybernetics, Part B, 2004. Accepted.
-
(2004)
IEEE Transactions On Systems, Man and Cybernetics, Part B
-
-
Schneider, G.1
Wersing, H.2
Sendhoff, B.3
Körner, E.4
-
63
-
-
3543094574
-
Evolutionary adaptation of nonlinear dynamical systems in computational neuroscience
-
S. Schneider, C. Igel, C. Klaes, H. Dinse, and J. Wiemer. Evolutionary adaptation of nonlinear dynamical systems in computational neuroscience. Journal of Genetic Programming and Evolvable Machines, 5(2):215-227, 2004.
-
(2004)
Journal of Genetic Programming and Evolvable Machines
, vol.5
, Issue.2
, pp. 215-227
-
-
Schneider, S.1
Igel, C.2
Klaes, C.3
Dinse, H.4
Wiemer, J.5
-
65
-
-
0033318210
-
A model for the dynamic interaction between evolution and learning
-
B. Sendhoff and M. Kreutz. A model for the dynamic interaction between evolution and learning. Neural Processing Letters, 10(3):181-193, 1999.
-
(1999)
Neural Processing Letters
, vol.10
, Issue.3
, pp. 181-193
-
-
Sendhoff, B.1
Kreutz, M.2
-
66
-
-
0030372023
-
On combining artificial neural nets
-
A. J. C. Sharkey. On combining artificial neural nets. Connection Science, 8(3-4):299-313, 1996.
-
(1996)
Connection Science
, vol.8
, Issue.3-4
, pp. 299-313
-
-
Sharkey, A.J.C.1
-
68
-
-
0036835735
-
Training a single sigmoidal neuron is hard
-
J. Šíma. Training a single sigmoidal neuron is hard. Neural Computation, 14:2709-2728, 2002.
-
(2002)
Neural Computation
, vol.14
, pp. 2709-2728
-
-
Šíma, J.1
-
69
-
-
0033953083
-
Theoretical neuroanatomy: Relating anatomical and functional connectivity in graphs and cortical connection matrices
-
O. Sporns, G. Tononi, and G. M. Edelman. Theoretical neuroanatomy: relating anatomical and functional connectivity in graphs and cortical connection matrices. Cerebral Cortex, 10(2):127-141, 2000.
-
(2000)
Cerebral Cortex
, vol.10
, Issue.2
, pp. 127-141
-
-
Sporns, O.1
Tononi, G.2
Edelman, G.M.3
-
70
-
-
84898939480
-
Policy gradient methods for reinforcement learning with function approximation
-
In S. A. Solla et al., editors, MIT Press
-
R. Sutton, D. McAllester, S. Singh, and Y. Mansour. Policy gradient methods for reinforcement learning with function approximation. In S. A. Solla et al., editors, Advances in Neural Information Processing Systems 12, pages 1057-1063. MIT Press, 2000.
-
(2000)
Advances In Neural Information Processing Systems 12
, pp. 1057-1063
-
-
Sutton, R.1
McAllester, D.2
Singh, S.3
Mansour, Y.4
-
71
-
-
0030653113
-
Application of genetic algorithms to optimise neocognitron network parameters
-
M.-Y. Teo, L.-P. Khoo, and S.-K. Sim. Application of genetic algorithms to optimise neocognitron network parameters. Neural Network World, 7(3):293-304, 1997.
-
(1997)
Neural Network World
, vol.7
, Issue.3
, pp. 293-304
-
-
Teo, M.-Y.1
Khoo, L.-P.2
Sim, S.-K.3
-
72
-
-
1642489044
-
Evolving controllers for real robots: A survey of the literature
-
J. Walker, S. Garrett, and M. Wilson. Evolving controllers for real robots: A survey of the literature. Adaptive Behavior, 11:179-203, 2003.
-
(2003)
Adaptive Behavior
, vol.11
, pp. 179-203
-
-
Walker, J.1
Garrett, S.2
Wilson, M.3
-
73
-
-
0038159929
-
Learning optimized features for hierarchical models of invariant recognition
-
H. Wersing and E. Körner. Learning optimized features for hierarchical models of invariant recognition. Neural Computation, 15(7):1559-1588, 2003.
-
(2003)
Neural Computation
, vol.15
, Issue.7
, pp. 1559-1588
-
-
Wersing, H.1
Körner, E.2
-
74
-
-
24344471654
-
Evolutionary multi-objective optimization of neural networks for face detection
-
S. Wiegand, C. Igel, and U. Handmann. Evolutionary multi-objective optimization of neural networks for face detection. International Journal of Computational Intelligence and Applications, 4(3):237-253, 2004.
-
(2004)
International Journal of Computational Intelligence and Applications
, vol.4
, Issue.3
, pp. 237-253
-
-
Wiegand, S.1
Igel, C.2
Handmann, U.3
-
75
-
-
0033362601
-
Evolving artificial neural networks
-
X. Yao. Evolving artificial neural networks. Proceedings of the IEEE, 87(9):1423-1447, 1999.
-
(1999)
Proceedings of the IEEE
, vol.87
, Issue.9
, pp. 1423-1447
-
-
Yao, X.1
|