-
1
-
-
0036924569
-
Improving the orthogonal range search k-windows clustering algorithm
-
Washington, D.C.
-
Alevizos, P., Boutsinas, B., Tasoulis, D. K. &: Vrahatis, M. N. [2002] "Improving the orthogonal range search k-windows clustering algorithm," Proc. 14th IEEE Int. Conf. Tools with Artificial Intelligence, Washington, D.C., pp. 239-245.
-
(2002)
Proc. 14th IEEE Int. Conf. Tools with Artificial Intelligence
, pp. 239-245
-
-
Alevizos, P.1
Boutsinas, B.2
Tasoulis, D.K.3
Vrahatis, M.N.4
-
2
-
-
24344497671
-
-
Lecture Notes in Computer Science
-
Alevizos, P., Tasoulis, D. K. & Vrahatis, M. N. [2004] Parallelizing the Unsupervised k-Windows Clustering Algorithm, Lecture Notes in Computer Science, Vol. 3019, pp. 225-232.
-
(2004)
Parallelizing the Unsupervised K-Windows Clustering Algorithm
, vol.3019
, pp. 225-232
-
-
Alevizos, P.1
Tasoulis, D.K.2
Vrahatis, M.N.3
-
5
-
-
0037381038
-
Support vector machines experts for time series forecasting
-
Cao, L. [2003] "Support vector machines experts for time series forecasting," Neurocomputing 51, 321-329.
-
(2003)
Neurocomputing
, vol.51
, pp. 321-329
-
-
Cao, L.1
-
6
-
-
0036464756
-
The particle swarmexplosion, stability, and convergence in a multidimensional complex space
-
Clerc, M. & Kennedy, J. [2002] "The particle swarmexplosion, stability, and convergence in a multidimensional complex space," IEEE Trans. Evol. Comput. 6, 58-73.
-
(2002)
IEEE Trans. Evol. Comput.
, vol.6
, pp. 58-73
-
-
Clerc, M.1
Kennedy, J.2
-
7
-
-
33748524441
-
Some known facts about financial data
-
de Bodt, E., Rynkiewicz, J. & Cottrell, M. [2001] "Some known facts about financial data," European Symp. Artificial Neural Networks (ESANN'2001), pp. 223-236.
-
(2001)
European Symp. Artificial Neural Networks (ESANN'2001)
, pp. 223-236
-
-
De Bodt, E.1
Rynkiewicz, J.2
Cottrell, M.3
-
9
-
-
85170282443
-
A density-based algorithm for discovering clusters in large spatial databases with noise
-
Ester, M., Kriegel, H. P., Sander, J. & Xu, X. [1996] "A density-based algorithm for discovering clusters in large spatial databases with noise," Proc. 2nd Int. Conf. Knowledge Discovery and Data Mining, pp. 226-231.
-
(1996)
Proc. 2nd Int. Conf. Knowledge Discovery and Data Mining
, pp. 226-231
-
-
Ester, M.1
Kriegel, H.P.2
Sander, J.3
Xu, X.4
-
10
-
-
0024627335
-
Information and entropy in strange attractors
-
Fraser, A. M. [1989] "Information and entropy in strange attractors," IEEE Trans. Inform. Th. 35, 245-262.
-
(1989)
IEEE Trans. Inform. Th.
, vol.35
, pp. 245-262
-
-
Fraser, A.M.1
-
11
-
-
85135470835
-
A growing neural gas network learns topologies
-
eds. Tesauro, G., Touretzky, D. S. & Leen, T. K. (MIT Press, Cambridge MA)
-
Fritzke, B. [1995] "A growing neural gas network learns topologies," Advances in Neural Information Processing Systems, eds. Tesauro, G., Touretzky, D. S. & Leen, T. K. (MIT Press, Cambridge MA), pp. 625-632.
-
(1995)
Advances in Neural Information Processing Systems
, pp. 625-632
-
-
Fritzke, B.1
-
12
-
-
0035399722
-
Noisy time series prediction using a recurrent neural network and grammatical inference
-
Giles, L. C., Lawrence, S. & Tsoi, A. H. [2001] "Noisy time series prediction using a recurrent neural network and grammatical inference," Mach. Learn. 44, 161-183.
-
(2001)
Mach. Learn.
, vol.44
, pp. 161-183
-
-
Giles, L.C.1
Lawrence, S.2
Tsoi, A.H.3
-
13
-
-
0001138328
-
A k-means clustering algorithm
-
Hartigan, J. A. & Wong, M. A. [1979] "A k-means clustering algorithm," Appl. Stat. 28, 100-108.
-
(1979)
Appl. Stat.
, vol.28
, pp. 100-108
-
-
Hartigan, J.A.1
Wong, M.A.2
-
16
-
-
0000810560
-
Practical implementation of nonlinear time series methods: The TISEAN package
-
Hegger, R., Kantz, H. & Schreiber, T. [1999] "Practical implementation of nonlinear time series methods: The TISEAN package," Chaos 9, 413-435.
-
(1999)
Chaos
, vol.9
, pp. 413-435
-
-
Hegger, R.1
Kantz, H.2
Schreiber, T.3
-
17
-
-
35949006791
-
Determining embedding dimension for phase-space reconstruction using a geometrical construction
-
Kennel, M. B., Brown, R. & Abarbanel, H. D. [1992] "Determining embedding dimension for phase-space reconstruction using a geometrical construction," Phys. Rev. A 45, 3403-3411.
-
(1992)
Phys. Rev. A
, vol.45
, pp. 3403-3411
-
-
Kennel, M.B.1
Brown, R.2
Abarbanel, H.D.3
-
20
-
-
0035419653
-
Adaptive stepsize algorithms for online training of neural networks
-
Magoulas, G. D., Plagianakos, V. P. & Vrahatis, M. N. [2001] "Adaptive stepsize algorithms for online training of neural networks, " Nonlin. Anal. T.M.A. 47, 3425-3430.
-
(2001)
Nonlin. Anal. T.M.A.
, vol.47
, pp. 3425-3430
-
-
Magoulas, G.D.1
Plagianakos, V.P.2
Vrahatis, M.N.3
-
21
-
-
0027205884
-
A scaled conjugate gradient algorithm for fast supervised learning
-
Møller, M. [1993] "A scaled conjugate gradient algorithm for fast supervised learning," Neural Networks 6, 525-533.
-
(1993)
Neural Networks
, vol.6
, pp. 525-533
-
-
Møller, M.1
-
22
-
-
0344291226
-
Recent approaches to global optimization problems through particle swarm optimization
-
Parsopoulos, K. E. & Vrahatis, M. N. [2002] "Recent approaches to global optimization problems through particle swarm optimization," Natural Comput. 1, 235-306.
-
(2002)
Natural Comput.
, vol.1
, pp. 235-306
-
-
Parsopoulos, K.E.1
Vrahatis, M.N.2
-
23
-
-
70349406797
-
Financial forecasting through unsupervised Clustering and evolutionary trained neural networks
-
Pavlidis, N. G., Tasoulis, D. K. & Vrahatis, M. N. [2003] "Financial forecasting through unsupervised Clustering and evolutionary trained neural networks," Proc. Congress on Evolutionary Computation (CEC 2003), pp. 2314-2321.
-
(2003)
Proc. Congress on Evolutionary Computation (CEC 2003)
, pp. 2314-2321
-
-
Pavlidis, N.G.1
Tasoulis, D.K.2
Vrahatis, M.N.3
-
24
-
-
33748563066
-
Time series forecasting methodology for multiple-step-ahead prediction
-
Pavlidis, N. G., Tasoulis, D. K. & Vrahatis, M. N. [2005] "Time series forecasting methodology for multiple-step-ahead prediction," The IASTED Int. Conf. Computational Intelligence (CI 200S), pp. 456-461.
-
(2005)
The IASTED Int. Conf. Computational Intelligence (CI 200S)
, pp. 456-461
-
-
Pavlidis, N.G.1
Tasoulis, D.K.2
Vrahatis, M.N.3
-
25
-
-
85011438572
-
Approximation theory of the mlp model in neural networks
-
Pinkus, A. [1999] "Approximation theory of the mlp model in neural networks," Acta Numerica, 143-195.
-
(1999)
Acta Numerica
, pp. 143-195
-
-
Pinkus, A.1
-
27
-
-
4043139159
-
Parallel evolutionary training algorithms for 'hardware-friendly' neural networks
-
Plagianakos, V. P. & Vrahatis, M. N. [2002] "Parallel evolutionary training algorithms for 'hardware-friendly' neural networks," Natural Comput. 1, 307-322.
-
(2002)
Natural Comput.
, vol.1
, pp. 307-322
-
-
Plagianakos, V.P.1
Vrahatis, M.N.2
-
28
-
-
0032203424
-
Local dynamic modeling with self-organizing maps and applications to nonlinear system identification and control
-
Principe, J. C., Wang, L. & Motter, M. A. [1998] "Local dynamic modeling with self-organizing maps and applications to nonlinear system identification and control," Proc. IEEE 86, 2240-2258.
-
(1998)
Proc. IEEE
, vol.86
, pp. 2240-2258
-
-
Principe, J.C.1
Wang, L.2
Motter, M.A.3
-
29
-
-
0032852347
-
Time-series forecasting through wavelets transformation and a mixture of expert models
-
Milidiu, R. L., Machado, R. J. & Renteria, R. P. [1999] "Time-series forecasting through wavelets transformation and a mixture of expert models," Neurocomputing 28, 145-156.
-
(1999)
Neurocomputing
, vol.28
, pp. 145-156
-
-
Milidiu, R.L.1
Machado, R.J.2
Renteria, R.P.3
-
30
-
-
84943274699
-
A direct adaptive method for faster backpropagation learning: The RPROP algorithm
-
San Francisco, CA
-
Riedmiller, M. & Braun, H. [1993] "A direct adaptive method for faster backpropagation learning: The RPROP algorithm," Proc. IEEE Int. Conf. Neural Networks (San Francisco, CA), pp. 586-591.
-
(1993)
Proc. IEEE Int. Conf. Neural Networks
, pp. 586-591
-
-
Riedmiller, M.1
Braun, H.2
-
31
-
-
0031194380
-
Uniform approximation and gamma networks
-
Sandberg, I. W. & Xu, L. [1997a] "Uniform approximation and gamma networks," Neural Networks 10, 781-784.
-
(1997)
Neural Networks
, vol.10
, pp. 781-784
-
-
Sandberg, I.W.1
Xu, L.2
-
33
-
-
22044455069
-
Density-based clustering in spatial databases: The algorithm GDBSCAN and its applications
-
Sander, J., Ester, M., Kriegel, H.-P. & Xu, X. [1998] "Density-based clustering in spatial databases: The algorithm GDBSCAN and its applications," Data Min. Knowl. Discov. 2, 169-194.
-
(1998)
Data Min. Knowl. Discov.
, vol.2
, pp. 169-194
-
-
Sander, J.1
Ester, M.2
Kriegel, H.-P.3
Xu, X.4
-
34
-
-
2442474088
-
Time series fore-casting with a hybrid clustering scheme and pattern recognition
-
Sfetsos, A. & Siriopoulos, C. [2004] "Time series fore-casting with a hybrid clustering scheme and pattern recognition," IEEE Trans. Syst., Man Cybern. Part A: Syst. Humans 34, 399-405.
-
(2004)
IEEE Trans. Syst., Man Cybern. Part A: Syst. Humans
, vol.34
, pp. 399-405
-
-
Sfetsos, A.1
Siriopoulos, C.2
-
35
-
-
0142000477
-
Differential evolution - A simple and efficient adaptive scheme for global optimization over continuous spaces
-
Storn, R. & Price, K. [1997] "Differential evolution - A simple and efficient adaptive scheme for global optimization over continuous spaces," J. Glob. Optim. 11, 341-359.
-
(1997)
J. Glob. Optim.
, vol.11
, pp. 341-359
-
-
Storn, R.1
Price, K.2
-
38
-
-
0036230457
-
The new k-windows algorithm for improving the k-means clustering algorithm
-
Vrahatis, M. N., Boutsinas, B., Alevizos, P. & Pavlides, G. [2002] "The new k-windows algorithm for improving the k-means clustering algorithm," J. Compl. 18, 375-391.
-
(2002)
J. Compl.
, vol.18
, pp. 375-391
-
-
Vrahatis, M.N.1
Boutsinas, B.2
Alevizos, P.3
Pavlides, G.4
-
39
-
-
0034894378
-
An empirical analysis of data requirements for financial forecasting with neural networks
-
Walczak, S. [2001] "An empirical analysis of data requirements for financial forecasting with neural networks," J. Manag. Inform. Syst. 17, 203-222.
-
(2001)
J. Manag. Inform. Syst.
, vol.17
, pp. 203-222
-
-
Walczak, S.1
-
40
-
-
0029446195
-
Nonlinear gated experts for time series: Discovering regimes and avoiding overfitting
-
Weigend, A. S., Mangeas, M. & Srivastava, A. N. [1995] "Nonlinear gated experts for time series: Discovering regimes and avoiding overfitting," Int. J. Neural Syst. 6, 373-399.
-
(1995)
Int. J. Neural Syst.
, vol.6
, pp. 373-399
-
-
Weigend, A.S.1
Mangeas, M.2
Srivastava, A.N.3
-
41
-
-
0025635525
-
Connectionist nonparametric regression: Multilayer feedforward networks can learn arbitrary mappings
-
White, H. [1990] "Connectionist nonparametric regression: Multilayer feedforward networks can learn arbitrary mappings," Neural Networks 3, 535-549.
-
(1990)
Neural Networks
, vol.3
, pp. 535-549
-
-
White, H.1
-
42
-
-
0034283989
-
A case study on using neural networks to perform technical forecasting of forex
-
Yao, J. & Tan, C. L. [2000] "A case study on using neural networks to perform technical forecasting of forex," Neurocomput. 34, 79-98.
-
(2000)
Neurocomput.
, vol.34
, pp. 79-98
-
-
Yao, J.1
Tan, C.L.2
|