-
1
-
-
0029196134
-
The geometrical learning of binary neural networks
-
J. H. Kim and S. K. Park, The geometrical learning of binary neural networks, IEEE Trans. Neural. Networks, 6, 1, pp. 237-247, 1995.
-
(1995)
IEEE Trans. Neural. Networks
, vol.6
, Issue.1
, pp. 237-247
-
-
Kim, J.H.1
Park, S.K.2
-
2
-
-
0036880905
-
A GA-based learning algorithm for binary neural networks
-
M. Shimada and T. Saito, A GA-based learning algorithm for binary neural networks, IEICE Trans. Fundamentals, E85-A, pp. 2544-2546, 2002.
-
(2002)
IEICE Trans. Fundamentals
, vol.E85-A
, pp. 2544-2546
-
-
Shimada, M.1
Saito, T.2
-
3
-
-
56349086892
-
Genetic learning of digital three-layer perceptrons for implementation of binary cellular automata
-
T. Yamamichi, T. Saito and H. Torikai, Genetic learning of digital three-layer perceptrons for implementation of binary cellular automata, Proc. WCCI, pp. 10309-10314, 2006.
-
(2006)
Proc. WCCI
, pp. 10309-10314
-
-
Yamamichi, T.1
Saito, T.2
Torikai, H.3
-
4
-
-
0029537753
-
Design of supervised classifiers using Boolean neural networks
-
S. Gazula and M. R. Kabuka, Design of supervised classifiers using Boolean neural networks, IEEE Trans. Pattern Analysis and Machine Intelligence, 17, 12, pp. 1239-1246, 1995.
-
(1995)
IEEE Trans. Pattern Analysis and Machine Intelligence
, vol.17
, Issue.12
, pp. 1239-1246
-
-
Gazula, S.1
Kabuka, M.R.2
-
5
-
-
0030082715
-
An artificial neural net Viterbi decoder
-
X-A. Wang and S. B. Wicker, An artificial neural net Viterbi decoder, IEEE Trans. Commun. vol. 44, no. 2, pp. 165-171, 1996.
-
(1996)
IEEE Trans. Commun
, vol.44
, Issue.2
, pp. 165-171
-
-
Wang, X.-A.1
Wicker, S.B.2
-
6
-
-
0020495993
-
Universality and Complexity in Cellular Automata
-
S. Wolfram, Universality and Complexity in Cellular Automata, Physica D, 10 pp. 1-35, 1984.
-
(1984)
Physica D
, vol.10
, pp. 1-35
-
-
Wolfram, S.1
-
7
-
-
0037002279
-
A nonlinear dynamics perspective of Wolfram's new kind of science. Part I: Threshold of complexity
-
L. O. Chua, S. Yoon and R. Dogaru, A nonlinear dynamics perspective of Wolfram's new kind of science. Part I: Threshold of complexity, Int. J. Bifurcation and Chaos, 12, pp. 2655-2766, 2002.
-
(2002)
Int. J. Bifurcation and Chaos
, vol.12
, pp. 2655-2766
-
-
Chua, L.O.1
Yoon, S.2
Dogaru, R.3
-
8
-
-
0031220958
-
Automatic discovery of self-replicating structures in cellular automata
-
J. D. Lohn and J. A. Reggia, Automatic discovery of self-replicating structures in cellular automata, IEEE Trans. Evolutionary Computation, 1, 3, pp. 165-178, 1997.
-
(1997)
IEEE Trans. Evolutionary Computation
, vol.1
, Issue.3
, pp. 165-178
-
-
Lohn, J.D.1
Reggia, J.A.2
-
9
-
-
27144517612
-
Towards predicting spatial complexity: A learning classifier system approach to cellular automata identification
-
L. Bull, I. Lawson, A. Adamatzky and B. DeLacyCostello, Towards predicting spatial complexity: a learning classifier system approach to cellular automata identification, Proc. of CEC, pp. 136-141, 2005.
-
(2005)
Proc. of CEC
, pp. 136-141
-
-
Bull, L.1
Lawson, I.2
Adamatzky, A.3
DeLacyCostello, B.4
-
10
-
-
4344681042
-
Block Cipher based on Reversible Cellular Automa
-
M. Seredynski and P. Bouvry, Block Cipher based on Reversible Cellular Automa, ' Proc. of CEC, pp. 2138-2143, 2004
-
(2004)
Proc. of CEC
, pp. 2138-2143
-
-
Seredynski, M.1
Bouvry, P.2
-
11
-
-
0037203222
-
Completely reproducible description of dkuroiwal with cellular automata
-
M. Wada, J. Kuroiwa and S. Nara, Completely reproducible description of dkuroiwal with cellular automata, Phys. Lett. A 306, pp. 110-1158, 2002.
-
(2002)
Phys. Lett. A
, vol.306
, pp. 110-1158
-
-
Wada, M.1
Kuroiwa, J.2
Nara, S.3
-
12
-
-
85035303320
-
-
M. Wada, J. Kuroiwa and S. Nara, Errorless reproduction of given pattern dynamics by means of cellular automata, Phys. Rev. E 68,036707, pp. 1-8, 2003.
-
M. Wada, J. Kuroiwa and S. Nara, Errorless reproduction of given pattern dynamics by means of cellular automata, Phys. Rev. E 68,036707, pp. 1-8, 2003.
-
-
-
-
13
-
-
33746913944
-
A prediction fusion method for reconstructing spatial temporal dynamics using support vector machines
-
Y. Xia, H. Leung and H. Chan, A prediction fusion method for reconstructing spatial temporal dynamics using support vector machines, IEEE Trans. Circuits Systs. II, 53, 1, pp. 62-66, 2006.
-
(2006)
IEEE Trans. Circuits Systs. II
, vol.53
, Issue.1
, pp. 62-66
-
-
Xia, Y.1
Leung, H.2
Chan, H.3
-
14
-
-
34547869773
-
Time series forecasting for dynamic environments: The DyForGenetic program model
-
N. Wagner, Z. Michalewicz, M. Khouja and R. R. McGregor, Time series forecasting for dynamic environments: The DyForGenetic program model, IEEE Trans. Evolutionary Computation, pp. 433-452, 2007.
-
(2007)
IEEE Trans. Evolutionary Computation
, pp. 433-452
-
-
Wagner, N.1
Michalewicz, Z.2
Khouja, M.3
McGregor, R.R.4
-
15
-
-
34047166022
-
Support vector echo-state machine for chaotic time-series prediction
-
Z. Shi and M. Han, Support vector echo-state machine for chaotic time-series prediction, IEEE Trans. Neural Networks, 18, 2, pp. 359-372, 2007.
-
(2007)
IEEE Trans. Neural Networks
, vol.18
, Issue.2
, pp. 359-372
-
-
Shi, Z.1
Han, M.2
|