-
2
-
-
0742306458
-
Meta learning evolutionary artificial neural networks
-
DOI 10.1016/S0925-2312(03)00369-2, PII S0925231203003692
-
A Abraham 2004 Meta learning evolutionary artificial neural networks Neurocomputing 56 1 38 (Pubitemid 38145617)
-
(2004)
Neurocomputing
, vol.56
, Issue.1-4
, pp. 1-38
-
-
Abraham, A.1
-
4
-
-
0034208724
-
A developmental model for the evolution of artificial neural networks
-
J Astor C Adami 2000 A developmental model for the evolution of artificial neural networks Artif Life 6 3 189 218
-
(2000)
Artif Life
, vol.6
, Issue.3
, pp. 189-218
-
-
Astor, J.1
Adami, C.2
-
5
-
-
65049087990
-
-
UCI machine learning repository
-
Asuncion A, Newman D (2007) UCI machine learning repository. http://www.ics.uci.edu/~mlearn/MLRepository.html
-
(2007)
-
-
Asuncion, A.1
Newman, D.2
-
7
-
-
0013000126
-
The evolution of learning algorithms for artificial neural networks
-
Green D, Bossomaier T (eds). IOS Press, Amsterdam
-
Baxter J (1992) The evolution of learning algorithms for artificial neural networks. In: Green D, Bossomaier T (eds) Complex systems. IOS Press, Amsterdam
-
(1992)
Complex systems
-
-
Baxter, J.1
-
10
-
-
0000331514
-
Cell division and migration in a 'genotype' for neural networks
-
A Cangelosi D Parisi S Nolfi 1994 Cell division and migration in a 'genotype' for neural networks Network 5 497 515
-
(1994)
Network
, vol.5
, pp. 497-515
-
-
Cangelosi, A.1
Parisi, D.2
Nolfi, S.3
-
15
-
-
55349116293
-
Neuroevolution: From architectures to learning
-
D Floreano P Durr C Mattiussi 2008 Neuroevolution: from architectures to learning Evol Intell 1 1 47 62
-
(2008)
Evol Intell
, vol.1
, Issue.1
, pp. 47-62
-
-
Floreano, D.1
Durr, P.2
Mattiussi, C.3
-
16
-
-
84945913823
-
Evolution of Spiking Neural Controllers for Autonomous Vision-Based Robots
-
Evolutionary Robotics From Intelligent Robotics to Artificial Life International Symposium, ER 2001 Tokyo, Japan, October 18-19, 2001 Proceedings
-
Floreano D, Mattiussi C (2001) Evolution of spiking neural controllers for autonomous vision-based robots. In: Gomi T (ed) Evolutionary robotics: from intelligent robotics to artificial life. Springer, Tokyo (Pubitemid 33353312)
-
(2001)
LECTURE NOTES in COMPUTER SCIENCE
, Issue.2217
, pp. 38-61
-
-
Floreano, D.1
Mattiussi, C.2
-
17
-
-
0027154319
-
Approximation of dynamical systems by continuous time recurrent neural networks
-
K Funahashi Y Nakamura 1993 Approximation of dynamical systems by continuous time recurrent neural networks Neural Netw 6 6 801 806
-
(1993)
Neural Netw
, vol.6
, Issue.6
, pp. 801-806
-
-
Funahashi, K.1
Nakamura, Y.2
-
18
-
-
0035505385
-
Lstm recurrent networks learn simple context free and context sensitive languages
-
F Gers J Schmidhuber 2001 Lstm recurrent networks learn simple context free and context sensitive languages IEEE Trans Neural Netw 12 6 1333 1340
-
(2001)
IEEE Trans Neural Netw
, vol.12
, Issue.6
, pp. 1333-1340
-
-
Gers, F.1
Schmidhuber, J.2
-
22
-
-
84977058391
-
Automatic definition of modular neural networks
-
F Gruau 1995 Automatic definition of modular neural networks Adapt Behav 3 2 151 183
-
(1995)
Adapt Behav
, vol.3
, Issue.2
, pp. 151-183
-
-
Gruau, F.1
-
28
-
-
4344661328
-
Which model to use for cortical spiking neurons?
-
E Izhikevich 2004 Which model to use for cortical spiking neurons? IEEE Trans Neural Netw 15 5 1063 1070
-
(2004)
IEEE Trans Neural Netw
, vol.15
, Issue.5
, pp. 1063-1070
-
-
Izhikevich, E.1
-
30
-
-
0031215210
-
Evolutionary robotics and the radical envelope-of-noise hypothesis
-
N Jakobi 1998 Evolutionary robotics and the radical envelope-of-noise hypothesis Adapt Behav 6 2 325 368
-
(1998)
Adapt Behav
, vol.6
, Issue.2
, pp. 325-368
-
-
Jakobi, N.1
-
31
-
-
0002933170
-
Designing neural networks using genetic algorithms with graph generation system
-
H Kitano 1990 Designing neural networks using genetic algorithms with graph generation system Complex Syst 4 461 476
-
(1990)
Complex Syst
, vol.4
, pp. 461-476
-
-
Kitano, H.1
-
34
-
-
85151432208
-
Overcoming incomplete perception with utile distinction memory
-
McCallum A (1993) Overcoming incomplete perception with utile distinction memory. In: International conference on machine learning, pp 190-196
-
(1993)
International Conference on Machine Learning
, pp. 190-196
-
-
McCallum, A.1
-
36
-
-
33750261476
-
Genomic computing networks learn complex POMDPs
-
Montana D, VanWyk E, Brinn M, Montana J, Milligan S (2006) Genomic computing networks learn complex POMDPs. In: Proceedings of the genetic and evolutionary computation conference (GECCO), pp 233-234
-
(2006)
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO)
, pp. 233-234
-
-
Montana, D.1
Vanwyk, E.2
Brinn, M.3
Montana, J.4
Milligan, S.5
-
39
-
-
0029375851
-
Gradient calculation for dynamic recurrent neural networks: A survey
-
B Pearlmutter 1995 Gradient calculation for dynamic recurrent neural networks: a survey IEEE Trans Neural Netw 6 5 1212 1228
-
(1995)
IEEE Trans Neural Netw
, vol.6
, Issue.5
, pp. 1212-1228
-
-
Pearlmutter, B.1
-
44
-
-
0036594106
-
Evolving neural networks through augmenting topologies
-
K Stanley R Miikkulainen 2002 Evolving neural networks through augmenting topologies Evol Comput 10 2 99 127
-
(2002)
Evol Comput
, vol.10
, Issue.2
, pp. 99-127
-
-
Stanley, K.1
Miikkulainen, R.2
-
45
-
-
0041783883
-
A taxonomy for artificial embryogeny
-
K Stanley R Miikkulainen 2003 A taxonomy for artificial embryogeny Artif Life 9 2 93 130
-
(2003)
Artif Life
, vol.9
, Issue.2
, pp. 93-130
-
-
Stanley, K.1
Miikkulainen, R.2
-
48
-
-
84976922520
-
Sequential behavior and learning in evolved dynamical neural networks
-
B Yamauchi R Beer 1994 Sequential behavior and learning in evolved dynamical neural networks Adapt Behav 2 3 219 246
-
(1994)
Adapt Behav
, vol.2
, Issue.3
, pp. 219-246
-
-
Yamauchi, B.1
Beer, R.2
-
49
-
-
0033362601
-
Evolving artificial neural networks
-
DOI 10.1109/5.784219
-
X Yao 1999 Evolving artificial neural networks Proc IEEE 87 9 1423 1447 (Pubitemid 30503424)
-
(1999)
Proceedings of the IEEE
, vol.87
, Issue.9
, pp. 1423-1447
-
-
Yao, X.1
|