-
1
-
-
0001285642
-
Learning time series evolution by unsupervised extraction of correlations
-
Deco G., Schürmann B. Learning time series evolution by unsupervised extraction of correlations. Physical Review. E51:1995;1780.
-
(1995)
Physical Review
, vol.51
, pp. 1780
-
-
Deco, G.1
Schürmann, B.2
-
2
-
-
4243248697
-
Statistical-ensemble theory of redundancy reduction and the duality between unsupervised and supervised neural learning
-
Deco G., Schürmann B. Statistical-ensemble theory of redundancy reduction and the duality between unsupervised and supervised neural learning. Physical Review E. 52(6):1995;6580-6587.
-
(1995)
Physical Review e
, vol.52
, Issue.6
, pp. 6580-6587
-
-
Deco, G.1
Schürmann, B.2
-
4
-
-
0027294340
-
Improving generalization by nonconvergent model selection methods
-
Finnoff W., Hergert F., Zimmermann H.G. Improving generalization by nonconvergent model selection methods. Neural Networks. 6:1993;771-783.
-
(1993)
Neural Networks
, vol.6
, pp. 771-783
-
-
Finnoff, W.1
Hergert, F.2
Zimmermann, H.G.3
-
6
-
-
0000090102
-
Finite sample corrections to entropy and dimension estimates
-
Grassberger P. Finite sample corrections to entropy and dimension estimates. Physics Letters A. 128:1988;369.
-
(1988)
Physics Letters a
, vol.128
, pp. 369
-
-
Grassberger, P.1
-
7
-
-
0002591468
-
A two-dimensional mapping with a strange attractor
-
Hénon M. A two-dimensional mapping with a strange attractor. Comm. Math. Phys. 50:1976;69.
-
(1976)
Comm. Math. Phys.
, vol.50
, pp. 69
-
-
Hénon, M.1
-
9
-
-
0000672424
-
Fast learning in networks of locally-tuned processing units
-
Moody J., Darken C. Fast learning in networks of locally-tuned processing units. Neural Computation. 1:1989;281-294.
-
(1989)
Neural Computation
, vol.1
, pp. 281-294
-
-
Moody, J.1
Darken, C.2
-
10
-
-
0011221227
-
Neuro-fuzzy architectures and learning algorithms for financial analysis
-
pp.
-
Neuneier, R., & Zimmermann, H.G. (1996). Neuro-Fuzzy Architectures and Learning Algorithms for Financial Analysis. In Proceedings of EUFIT'96, Vol. 3, pp. 2191-2195.
-
(1996)
In Proceedings of EUFIT'96
, vol.3
, pp. 2191-2195
-
-
Neuneier, R.1
Zimmermann, H.G.2
-
11
-
-
0000938560
-
Information theoretic test for nonlinearity in time series
-
Palus M., Albrecht V., Dvorák I. Information theoretic test for nonlinearity in time series. Physics Letters A. 175:1993;203-209.
-
(1993)
Physics Letters a
, vol.175
, pp. 203-209
-
-
Palus, M.1
Albrecht, V.2
Dvorák, I.3
-
12
-
-
4243440738
-
Testing for nonlinearity using redundancies: Quantitative and qualitative aspects
-
Palus M. Testing for nonlinearity using redundancies: quantitative and qualitative aspects. Physica D. 80:1995;186-205.
-
(1995)
Physica D
, vol.80
, pp. 186-205
-
-
Palus, M.1
-
14
-
-
0021892282
-
Fuzzy identification of systems and its applications to modelling and control
-
pp.
-
Takagi, T., & Sugeno, M. (1985). Fuzzy identification of systems and its applications to modelling and control. In IEEE Trans. on Syst., Man and Cybernetics, 1, (Vol. 15) pp. 116-132.
-
(1985)
In IEEE Trans. on Syst., Man and Cybernetics, 1
, vol.15
, pp. 116-132
-
-
Takagi, T.1
Sugeno, M.2
-
15
-
-
44049111332
-
Testing for nonlinearity in time series: The method of surrogate data
-
Theiler J., Eubank S., Longtin A., Galdrikian B., Farmer J. Testing for nonlinearity in time series: the method of surrogate data. Physica D. 58:1992;77-94.
-
(1992)
Physica D
, vol.58
, pp. 77-94
-
-
Theiler, J.1
Eubank, S.2
Longtin, A.3
Galdrikian, B.4
Farmer, J.5
-
16
-
-
0002475925
-
Network structuring and training using rule-based knowledge
-
In S.J. Hanson, S.D. Cowan, C.L. Giles, (Eds.), p. Cambridge, MA: MIT Press
-
Tresp, V., Hollatz, J., & Ahmad, S. (1993). Network Structuring and Training Using Rule-Based Knowledge. In S.J. Hanson, S.D. Cowan, C.L. Giles, (Eds.), Advances in neural information processing systems: Vol. 5 p. 871-878. Cambridge, MA: MIT Press.
-
(1993)
Advances in Neural Information Processing Systems: Vol. 5
, pp. 871-878
-
-
Tresp, V.1
Hollatz, J.2
Ahmad, S.3
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