-
1
-
-
0002405886
-
Nonlinear prediction of speech signals
-
M. Casdagli and S. Eubank, Eds. Reading MA: Addison-Wesley pp
-
B. Townshend, 1992: Nonlinear prediction of speech signals, in Nonlinear modeling and Forecasting, M. Casdagli and S. Eubank, Eds. Reading MA: Addison-Wesley pp 433-453.
-
(1992)
Nonlinear modeling and Forecasting
, pp. 433-453
-
-
Townshend, B.1
-
2
-
-
66349101731
-
-
P.G. Cooper, M.N. Hays, and J.E. Whalen, Neural networks for propagation modeling,Electromagnetic Environmental Test facility, Fort Huachuca, AZ, Atlantic Res Corp, Rep. 92-12-002, 1992
-
P.G. Cooper, M.N. Hays, and J.E. Whalen, "Neural networks for propagation modeling,"Electromagnetic Environmental Test facility, Fort Huachuca, AZ, Atlantic Res Corp, Rep. 92-12-002, 1992
-
-
-
-
3
-
-
66349097300
-
-
Haykin, S., Neural Networks, 2006 -A comprehensive foundation, Second Edition, Pearson Education India, pp.443.
-
Haykin, S., Neural Networks, 2006 -A comprehensive foundation, Second Edition, Pearson Education India, pp.443.
-
-
-
-
4
-
-
0003251836
-
Time series prediction: Forecasting the future and Understanding the past
-
Addison -Wesley, Reading, MA
-
Weigend A.S. and Greshenfeld N.A, 1993. Time series prediction: Forecasting the future and Understanding the past, Santa Fe Institute Studies in Science of complexity, Proceedings vol. XV, Addison -Wesley, Reading, MA.
-
(1993)
Santa Fe Institute Studies in Science of complexity, Proceedings
, vol.15
-
-
Weigend, A.S.1
Greshenfeld, N.A.2
-
5
-
-
45149144372
-
Nonlinear prediction of chaotic time series
-
M.Casdagli,1989. Nonlinear prediction of chaotic time series, Phys. D, vol 35, pp 335-356.
-
(1989)
Phys. D
, vol.35
, pp. 335-356
-
-
Casdagli, M.1
-
6
-
-
0027632108
-
-
Leung H. and Lo T., July 1993. Chaotic radar signal processing over the sea. IEEE J, Oceanic Eng., 18 issue 3 pp 287-295.,ISSN no 0364-9059
-
Leung H. and Lo T., July 1993. Chaotic radar signal processing over the sea. IEEE J, Oceanic Eng., Vol.18 issue 3 pp 287-295.,ISSN no 0364-9059
-
-
-
-
7
-
-
0029184794
-
Applying Chaos to radar detection in an ocean environment An Experimental study
-
H. Leung, 1995. Applying Chaos to radar detection in an ocean environment An Experimental study, IEEE Journal of Oceanic Eng., vol. 20 pp56-64.
-
(1995)
IEEE Journal of Oceanic Eng
, vol.20
, pp. 56-64
-
-
Leung, H.1
-
9
-
-
0028369325
-
A chaotic direct sequence spread spectrum communication system
-
G. Heidari- Bateni and C.D. McGillen, 1994. A chaotic direct sequence spread spectrum communication system, IEEE transactions communications, Vol 42. pp 1524-1527.
-
(1994)
IEEE transactions communications
, vol.42
, pp. 1524-1527
-
-
Heidari- Bateni, G.1
McGillen, C.D.2
-
10
-
-
0035393376
-
Narrowband interference cancellation in spread spectrum communication systems using chaos
-
Y. Fu and H. Leung, 2001. Narrowband interference cancellation in spread spectrum communication systems using chaos., IEEE transactions circuits systems,vol. 48,pp847-858.
-
(2001)
IEEE transactions circuits systems
, vol.48
, pp. 847-858
-
-
Fu, Y.1
Leung, H.2
-
11
-
-
0024861871
-
-
Cybenko. G., 1989. Approximations by superposition of a sigmoidal functions, Mathematics of Control, Signals and Systems, 2, no 4pp 303-314.
-
Cybenko. G., 1989. Approximations by superposition of a sigmoidal functions, Mathematics of Control, Signals and Systems, Vol 2, no 4pp 303-314.
-
-
-
-
12
-
-
0024880831
-
Multilayer feed forward networks are universal approximators
-
K Hornik, M Stinchcombe & H White, Multilayer feed forward networks are universal approximators, Neural networks, vol 2,no 5, pp 359-366, 1989.
-
(1989)
Neural networks
, vol.2
, Issue.5
, pp. 359-366
-
-
Hornik, K.1
Stinchcombe, M.2
White, H.3
-
13
-
-
66349130546
-
Prediction of a Lorenz chaotic attractor using two layer perceptron network
-
Dudul Sanjay V., 2005. Prediction of a Lorenz chaotic attractor using two layer perceptron network, Elsevier Journal of Applied soft computing, 5(4) 4333-4355.
-
(2005)
Elsevier Journal of Applied soft computing
, vol.5
, Issue.4
, pp. 4333-4355
-
-
Dudul Sanjay, V.1
-
14
-
-
34547395319
-
-
Sanjay V Dudul, February2007. Identification of a Liquid of a Liquid Saturated Steam Heat Exchanger Using Focused Time Lagged Recurrent Neural Network Model, IETE Journal of Research Vol53 No1,pp69-82.
-
Sanjay V Dudul, February2007. Identification of a Liquid of a Liquid Saturated Steam Heat Exchanger Using Focused Time Lagged Recurrent Neural Network Model, IETE Journal of Research Vol53 No1,pp69-82.
-
-
-
-
15
-
-
0027599793
-
Universal approximation bounds for superpositions of a sigmoidal function
-
May
-
Barron A. R., May 1993. Universal approximation bounds for superpositions of a sigmoidal function, IEEE Transactions on Information Theory, vol.39, issue 3, pp 930-945.,
-
(1993)
IEEE Transactions on Information Theory
, vol.39
, Issue.3
, pp. 930-945
-
-
Barron, A.R.1
-
16
-
-
0029482971
-
Nonlinear black-box models in system identification: Mathematical foundations
-
Judi sky, A., Hjalmarson, H., Benefits, A., Delyon, B., Ljung, L., Sjoberg, J., Zang, Q., 1995. "Nonlinear black-box models in system identification: Mathematical foundations". Automatica, 31(12), pp. 1725-1750.
-
(1995)
Automatica
, vol.31
, Issue.12
, pp. 1725-1750
-
-
Judi sky, A.1
Hjalmarson, H.2
Benefits, A.3
Delyon, B.4
Ljung, L.5
Sjoberg, J.6
Zang, Q.7
-
17
-
-
66349126687
-
-
R. and Cor M. Vanden Bleek 2000. attractors by neural network, Neural Computations., 12, pp 2355-2383.
-
R. and Cor M. Vanden Bleek 2000. attractors by neural network, Neural Computations., vol.12, pp 2355-2383.
-
-
-
-
18
-
-
0142017824
-
Chaotic time series analysis based on radial basis function network
-
Zeng Zhaocoui, Duan Yurong, 1999. Chaotic time series analysis based on radial basis function network, Chinease Journal of Chongqing University 22(6) 113-120.
-
(1999)
Chinease Journal of Chongqing University
, vol.22
, Issue.6
, pp. 113-120
-
-
Zeng, Z.1
Duan, Y.2
-
19
-
-
0035441349
-
Prediction of noisy chaotic time series using an optimal radial basis function neural network
-
September
-
H. Leung, T. Lo and S.Wang, September 2001. Prediction of noisy chaotic time series using an optimal radial basis function neural network. IEEE Transactions on neural networks vol 12, no 5, pp1163-1172.
-
(2001)
IEEE Transactions on neural networks
, vol.12
, Issue.5
, pp. 1163-1172
-
-
Leung, H.1
Lo, T.2
Wang, S.3
-
20
-
-
0028546555
-
Neural learning of chaotic system behavior
-
Deco, G and Schurmann M,1994. Neural learning of chaotic system behavior, IEICE Transactions fundamentals E77(A),1840-1845.
-
(1994)
IEICE Transactions fundamentals
, vol.E77
, Issue.A
, pp. 1840-1845
-
-
Deco, G.1
Schurmann, M.2
-
21
-
-
23044434528
-
-
Billings Stephen A. and Hua- Liang Wei, July 2005. A new class of wavelet network for nonlinear system identification, IEEE transactions on neural networks, 16, No. 4, pp 862-874.
-
Billings Stephen A. and Hua- Liang Wei, July 2005. A new class of wavelet network for nonlinear system identification, IEEE transactions on neural networks, Vol 16, No. 4, pp 862-874.
-
-
-
-
22
-
-
9744257846
-
-
December
-
Min Han, Jianhui Xi, Shiguo Xu and Fu-Liang Yin, December 2004. Prediction of chaotic time series based on the recurrent predictor neural network, IEEE transaction of signal processing, vol 52, no 12.
-
(2004)
Prediction of chaotic time series based on the recurrent predictor neural network, IEEE transaction of signal processing
, vol.52
, Issue.12
-
-
Han, M.1
Xi, J.2
Xu, S.3
Yin, F.-L.4
-
24
-
-
84958978250
-
Efficient Hybrid neural network for chaotic time series prediction ICANN2001
-
Springer
-
Hirotoka Inoue, Yashinobou Fukuango and Hiroyuki Narihinsa "Efficient Hybrid neural network for chaotic time series prediction" ICANN2001, LNCS 2130, pp 712-718, Springer.
-
LNCS
, vol.2130
, pp. 712-718
-
-
Inoue, H.1
Fukuango, Y.2
Narihinsa, H.3
-
25
-
-
24944563058
-
Study of nonlinear multivariate time series prediction based on neural networks
-
Min Han, Mingming Fan, Jianhui Xi Study of nonlinear multivariate time series prediction based on neural networks LNCS 3497,PP618-623, 2005.
-
(2005)
LNCS
, vol.3497
-
-
Han, M.1
Fan, M.2
Xi, J.3
-
26
-
-
0026626377
-
Comparison of Four Neural Net Learning Methods for Dynamic System Identification
-
ISSN
-
Quin S.Z., Su H T & McAvoy T J, 1992.Comparison of Four Neural Net Learning Methods for Dynamic System Identification, IEEE transactions on Neural networks vol 3, issue 1 pp 122-30., ISSN no. 1045-9227.
-
(1992)
IEEE transactions on Neural networks
, vol.3
, Issue.1-1045 -9227
, pp. 122-130
-
-
Quin, S.Z.1
Su, H.T.2
McAvoy, T.J.3
-
27
-
-
0025399567
-
Identification and control of dynamic systems using neural networks
-
Naraendra K S & Parthasarathy K, 1990. Identification and control of dynamic systems using neural networks, IEEE Trans on Neural Networks, vol 1, no 1, pp 4-27.
-
(1990)
IEEE Trans on Neural Networks
, vol.1
, Issue.1
, pp. 4-27
-
-
Naraendra, K.S.1
Parthasarathy, K.2
-
28
-
-
66349124831
-
-
Demuth & Beale M., Neural Network Tool Box for use with MATLAB, 2004. Users Guide, Version 4.0, The Math works, Inc Natick, MA.,www.mathworks.com.
-
Demuth & Beale M., Neural Network Tool Box for use with MATLAB, 2004. Users Guide, Version 4.0, The Math works, Inc Natick, MA.,www.mathworks.com.
-
-
-
-
29
-
-
0003654646
-
-
Addison -Weseley, Reading, MA, 3rd Edition
-
Franklin, G.F. Powell, J.D. And Workman M.L, 1998. Digital control of dynamics systems, Addison -Weseley, Reading, MA, 3rd Edition.
-
(1998)
Digital control of dynamics systems
-
-
Franklin, G.F.1
Powell, J.D.2
And Workman, M.L.3
-
31
-
-
0026895542
-
The Gamma Model,. -A neural model for temporal processing
-
principe βrain
-
Vries, Bert De. & Principe Jose C., 1992 The Gamma Model,. -A neural model for temporal processing. Neural networks, Vol. 5 pp 565-576., principe βrain.ee.ufl.edu.
-
(1992)
Neural networks
, vol.5
, pp. 565-576
-
-
Vries, B.D.1
Principe Jose, C.2
-
32
-
-
66349083329
-
-
Principe J.C., Euliano N.R, Inc 2000 Neural and Adaptive Systems - Fundamental through Simulations, John Wiley and Sons.
-
Principe J.C., Euliano N.R, Inc 2000 Neural and Adaptive Systems - Fundamental through Simulations, John Wiley and Sons.
-
-
-
-
33
-
-
0035494005
-
Solar cycle forecasting: A nonlinear dynamics approach
-
Sello S., 2001. Solar cycle forecasting: a nonlinear dynamics approach, Astronomy and Astrophysics 377, pp 312-320.
-
(2001)
Astronomy and Astrophysics
, vol.377
, pp. 312-320
-
-
Sello, S.1
-
35
-
-
0008607908
-
A nonlinear prediction of the smoothed monthly sun spots numbers
-
Zhang Q, 1996. A nonlinear prediction of the smoothed monthly sun spots numbers, Astronomy and Astrophysics 310,646.
-
(1996)
Astronomy and Astrophysics
, vol.310
, pp. 646
-
-
Zhang, Q.1
-
36
-
-
0002060398
-
Interdisciplinary application of nonlinear time series methods
-
Schreiber, T, 1998: Interdisciplinary application of nonlinear time series methods, Physical Reports 308
-
(1998)
Physical Reports
, vol.308
-
-
Schreiber, T.1
-
37
-
-
66349120895
-
-
http://sidc.oma.be/index.hp3.
-
-
-
-
38
-
-
0000399750
-
-
Huebner, U., Abraham, N. and Weiss C, 1989: Dimensions and Entropies of chaotic intensity pulsations in a single -mode far infrared NH3 Laser, Physical Review A (40) a, 6354-6360.
-
(1989)
Dimensions and Entropies of chaotic intensity pulsations in a single -mode far infrared NH3 Laser, Physical Review A (40) a
, pp. 6354-6360
-
-
Huebner, U.1
Abraham, N.2
Weiss, C.3
-
39
-
-
8844232669
-
Simulation modeling of multi -parameter sensor signal identification using neural networks
-
Sofia, Bulgaria, pp
-
I. V. Turchenko, June 2004,Simulation modeling of multi -parameter sensor signal identification using neural networks, Proceedings of the 2nd International conference on Intelligent systems, Sofia, Bulgaria, pp 48-53.
-
(2004)
Proceedings of the 2nd International conference on Intelligent systems
, pp. 48-53
-
-
Turchenko, I.V.1
June2
-
40
-
-
0034187311
-
-
Huang G., Yan Qiu Chen & Babri H.A.,2000, Classification ability of single hidden layer feed forward neural networks, IEEE Transactions on neural networks, 11 no, pp 799-801.
-
Huang G., Yan Qiu Chen & Babri H.A.,2000, Classification ability of single hidden layer feed forward neural networks, IEEE Transactions on neural networks, vol 11 no, pp 799-801.
-
-
-
|