-
1
-
-
0001202594
-
A learning algorithm for continually running fully recurrent neural networks
-
R. J. Williams and D. Zipser, "A learning algorithm for continually running fully recurrent neural networks," Neural Comput., vol. 1, no. 2, pp. 270-280, 1989.
-
(1989)
Neural Comput
, vol.1
, Issue.2
, pp. 270-280
-
-
Williams, R.J.1
Zipser, D.2
-
2
-
-
0032584970
-
Time-delay recurrent neural network for temporal correlations and prediction
-
Aug
-
S.-S. Kim, "Time-delay recurrent neural network for temporal correlations and prediction," Neurocomputing, vol. 20, no. 1-3, pp. 253-263, Aug. 1998.
-
(1998)
Neurocomputing
, vol.20
, Issue.1-3
, pp. 253-263
-
-
Kim, S.-S.1
-
3
-
-
0028392406
-
Locally recurrent globally feedforward networks: A critical review of architectures
-
Mar
-
A. C. Tsoi and A. D. Back, "Locally recurrent globally feedforward networks: A critical review of architectures," IEEE Trans. Neural Netw., vol. 5, no. 2, pp. 229-239, Mar. 1994.
-
(1994)
IEEE Trans. Neural Netw
, vol.5
, Issue.2
, pp. 229-239
-
-
Tsoi, A.C.1
Back, A.D.2
-
4
-
-
0000029787
-
FIR and IIR synapses, a new neural network architecture for time series modeling
-
A. D. Back and A. C. Tsoi, "FIR and IIR synapses, a new neural network architecture for time series modeling," Neural Comput., vol. 3, no. 3, pp. 375-385, 1991.
-
(1991)
Neural Comput
, vol.3
, Issue.3
, pp. 375-385
-
-
Back, A.D.1
Tsoi, A.C.2
-
5
-
-
0028399792
-
Memory neuron networks for identification and control of dynamical systems
-
Mar
-
P. S. Sastry, G. Santharam, and K. P. Unnikrishann, "Memory neuron networks for identification and control of dynamical systems," IEEE Trans. Neural Netw., vol. 5, no. 2, pp. 306-319, Mar. 1994.
-
(1994)
IEEE Trans. Neural Netw
, vol.5
, Issue.2
, pp. 306-319
-
-
Sastry, P.S.1
Santharam, G.2
Unnikrishann, K.P.3
-
6
-
-
0029207879
-
Diagonal recurrent neural networks for dynamic systems control
-
Jan
-
C.-C. Ku and K. Y. Lee, "Diagonal recurrent neural networks for dynamic systems control," IEEE Trans. Neural Netw., vol. 6, no. 1, pp. 144-156, Jan. 1995.
-
(1995)
IEEE Trans. Neural Netw
, vol.6
, Issue.1
, pp. 144-156
-
-
Ku, C.-C.1
Lee, K.Y.2
-
7
-
-
0028401357
-
Recurrent neural networks and robust time series prediction
-
Mar
-
J. T. Connor, R. D. Martin, and L. E. Atlas, "Recurrent neural networks and robust time series prediction," IEEE Trans. Neural Netw., vol. 5, no. 2, pp. 240-254, Mar. 1994.
-
(1994)
IEEE Trans. Neural Netw
, vol.5
, Issue.2
, pp. 240-254
-
-
Connor, J.T.1
Martin, R.D.2
Atlas, L.E.3
-
8
-
-
33646241633
-
Learning long-term dependences in NARX recurrent neural networks
-
Nov
-
T. Lin, B. G. Horne, P. Tino, and C. L. Giles, "Learning long-term dependences in NARX recurrent neural networks," IEEE Trans. Neural Netw., vol. 7, no. 6, pp. 1329-1338, Nov. 1996.
-
(1996)
IEEE Trans. Neural Netw
, vol.7
, Issue.6
, pp. 1329-1338
-
-
Lin, T.1
Horne, B.G.2
Tino, P.3
Giles, C.L.4
-
9
-
-
0029252331
-
Nonlinear adaptive prediction of nonstationary signals
-
Feb
-
S. Haykin and L. Li, "Nonlinear adaptive prediction of nonstationary signals," IEEE Trans. Signal Process., vol. 43, no. 2, pp. 526-535, Feb. 1995.
-
(1995)
IEEE Trans. Signal Process
, vol.43
, Issue.2
, pp. 526-535
-
-
Haykin, S.1
Li, L.2
-
10
-
-
0031197661
-
Optimal nonlinear adaptive prediction and modeling of MPEG video in ATM networks using pipelined recurrent neural networks
-
Aug
-
P.-R. Chang and J.-T. Hu, "Optimal nonlinear adaptive prediction and modeling of MPEG video in ATM networks using pipelined recurrent neural networks," IEEE J. Sel. Areas Commun., vol. 15, no. 6, pp. 1087-1100, Aug. 1997.
-
(1997)
IEEE J. Sel. Areas Commun
, vol.15
, Issue.6
, pp. 1087-1100
-
-
Chang, P.-R.1
Hu, J.-T.2
-
11
-
-
0032140757
-
Nonlinear adaptive prediction of speech with a pipelined recurrent neural network
-
Aug
-
J. Beltersee and J. A. Chambers, "Nonlinear adaptive prediction of speech with a pipelined recurrent neural network," IEEE Trans. Signal Process., vol. 46, no. 8, pp. 2207-2216, Aug. 1998.
-
(1998)
IEEE Trans. Signal Process
, vol.46
, Issue.8
, pp. 2207-2216
-
-
Beltersee, J.1
Chambers, J.A.2
-
12
-
-
0033309094
-
Toward an optimal PRNN-based nonlinear prediction
-
Nov
-
D. P. Mandic and J. A. Chambers, "Toward an optimal PRNN-based nonlinear prediction," IEEE Trans. Neural Netw., vol. 10, no. 6, pp. 1435-1442, Nov. 1999.
-
(1999)
IEEE Trans. Neural Netw
, vol.10
, Issue.6
, pp. 1435-1442
-
-
Mandic, D.P.1
Chambers, J.A.2
-
13
-
-
0033751613
-
On the choice of parameters of the cost function in nested modular RNN's
-
Mar
-
D. P. Mandic and J. A. Chambers, "On the choice of parameters of the cost function in nested modular RNN's," IEEE Trans. Neural Netw., vol. 11, no. 2, pp. 315-322, Mar. 2000.
-
(2000)
IEEE Trans. Neural Netw
, vol.11
, Issue.2
, pp. 315-322
-
-
Mandic, D.P.1
Chambers, J.A.2
-
14
-
-
0033098832
-
Recurrent neuro-fuzzy networks for nonlinear process modeling
-
Mar
-
J. Zhang and A. J. Morris, "Recurrent neuro-fuzzy networks for nonlinear process modeling," IEEE Trans. Neural Netw., vol. 10, no. 2, pp. 313-326, Mar. 1999.
-
(1999)
IEEE Trans. Neural Netw
, vol.10
, Issue.2
, pp. 313-326
-
-
Zhang, J.1
Morris, A.J.2
-
15
-
-
0030389065
-
Recursive learning algorithms for training fuzzy recurrent models
-
J. B. Theocharis and G. V. Vachtsevanos, "Recursive learning algorithms for training fuzzy recurrent models," Int. J. Intell. Syst., vol. 11, no. 12, pp. 1059-1098, 1996.
-
(1996)
Int. J. Intell. Syst
, vol.11
, Issue.12
, pp. 1059-1098
-
-
Theocharis, J.B.1
Vachtsevanos, G.V.2
-
16
-
-
0034244894
-
Identification and control of dynamic systems using recurrent fuzzy neural networks
-
Aug
-
C.-H. Lee and C.-C. Teng, "Identification and control of dynamic systems using recurrent fuzzy neural networks," IEEE Trans. Fuzzy Syst., vol. 8, no. 4, pp. 349-366, Aug. 2000.
-
(2000)
IEEE Trans. Fuzzy Syst
, vol.8
, Issue.4
, pp. 349-366
-
-
Lee, C.-H.1
Teng, C.-C.2
-
17
-
-
11244339733
-
Identification and prediction using recurrent compensatory neuro-fuzzy systems
-
C.-J. Lin and C.-H. Chen, "Identification and prediction using recurrent compensatory neuro-fuzzy systems," Fuzzy Sets Syst., vol. 150, no. 2, pp. 307-330, 2005.
-
(2005)
Fuzzy Sets Syst
, vol.150
, Issue.2
, pp. 307-330
-
-
Lin, C.-J.1
Chen, C.-H.2
-
18
-
-
4844222566
-
Prediction and identification using wavelet-based recurrent fuzzy neural network
-
Oct
-
C. J. Lin and C. C. Chin, "Prediction and identification using wavelet-based recurrent fuzzy neural network," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 34, no. 5, pp. 2144-2154, Oct. 2004.
-
(2004)
IEEE Trans. Syst., Man, Cybern. B, Cybern
, vol.34
, Issue.5
, pp. 2144-2154
-
-
Lin, C.J.1
Chin, C.C.2
-
19
-
-
0035358455
-
Learning feed-forward and recurrent fuzzy systems: A genetic approach
-
H. Surmann and M. Maniadakis, "Learning feed-forward and recurrent fuzzy systems: A genetic approach," Int. J. Syst. Archit., vol. 47, no. 7, pp. 649-662, 2001.
-
(2001)
Int. J. Syst. Archit
, vol.47
, Issue.7
, pp. 649-662
-
-
Surmann, H.1
Maniadakis, M.2
-
20
-
-
0036532267
-
A recurrent fuzzy-neural model for dynamic system identification
-
Apr
-
P. A. Mastorocostas and J. B. Theocharis, "A recurrent fuzzy-neural model for dynamic system identification," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 32, no. 2, pp. 176-190, Apr. 2002.
-
(2002)
IEEE Trans. Syst., Man, Cybern. B, Cybern
, vol.32
, Issue.2
, pp. 176-190
-
-
Mastorocostas, P.A.1
Theocharis, J.B.2
-
21
-
-
11244305511
-
NARMAX time series model prediction: Feedforward and recurrent fuzzy neural network approaches
-
Y. Gao and M. J. Er, "NARMAX time series model prediction: Feedforward and recurrent fuzzy neural network approaches," Fuzzy Sets Syst., vol. 150, no. 2, pp. 331-350, 2005.
-
(2005)
Fuzzy Sets Syst
, vol.150
, Issue.2
, pp. 331-350
-
-
Gao, Y.1
Er, M.J.2
-
22
-
-
0032681147
-
A recurrent self-organizing neural fuzzy inference network
-
Jul
-
C.-F. Juang and C.-T. Lin, "A recurrent self-organizing neural fuzzy inference network," IEEE Trans. Neural Netw., vol. 10, no. 4, pp. 828-845, Jul. 1999.
-
(1999)
IEEE Trans. Neural Netw
, vol.10
, Issue.4
, pp. 828-845
-
-
Juang, C.-F.1
Lin, C.-T.2
-
23
-
-
0036531230
-
A TSK-type recurrent fuzzy network for dynamic systems processing by neural network and genetic algorithms
-
Apr
-
C.-F. Juang, "A TSK-type recurrent fuzzy network for dynamic systems processing by neural network and genetic algorithms," IEEE Trans. Fuzzy Syst., vol. 10, no. 2, pp. 155-170, Apr. 2002.
-
(2002)
IEEE Trans. Fuzzy Syst
, vol.10
, Issue.2
, pp. 155-170
-
-
Juang, C.-F.1
-
24
-
-
0742285809
-
Temporal problems solved by dynamic fuzzy network based on genetic algorithm with variable-length chromosomes
-
Mar
-
C.-F. Juang, "Temporal problems solved by dynamic fuzzy network based on genetic algorithm with variable-length chromosomes," Fuzzy Sets Syst., vol. 142, no. 2, pp. 199-219, Mar. 2004.
-
(2004)
Fuzzy Sets Syst
, vol.142
, Issue.2
, pp. 199-219
-
-
Juang, C.-F.1
-
25
-
-
0035245167
-
Noisy signal processing by recurrently adaptive fuzzy filters
-
Feb
-
C.-F. Juang and C.-T. Lin, "Noisy signal processing by recurrently adaptive fuzzy filters," IEEE Trans. Fuzzy Syst., vol. 9, no. 1, pp. 139-152, Feb. 2001.
-
(2001)
IEEE Trans. Fuzzy Syst
, vol.9
, Issue.1
, pp. 139-152
-
-
Juang, C.-F.1
Lin, C.-T.2
-
26
-
-
33744792340
-
Water bath temperature control by a recurrent fuzzy controller and its FPGA implementation
-
Jun
-
C.-F. Juang and J. S. Chen, "Water bath temperature control by a recurrent fuzzy controller and its FPGA implementation," IEEE Trans. Ind. Electron., vol. 53, no. 3, pp. 941-949, Jun. 2006.
-
(2006)
IEEE Trans. Ind. Electron
, vol.53
, Issue.3
, pp. 941-949
-
-
Juang, C.-F.1
Chen, J.S.2
-
27
-
-
28044450377
-
A high-order recurrent neuro-fuzzy system with internal dynamics: Application to adaptive noise cancellation
-
J. B. Theocharis, "A high-order recurrent neuro-fuzzy system with internal dynamics: Application to adaptive noise cancellation," Fuzzy Sets Syst., vol. 157, no. 4, pp. 471-500, 2006.
-
(2006)
Fuzzy Sets Syst
, vol.157
, Issue.4
, pp. 471-500
-
-
Theocharis, J.B.1
-
28
-
-
0001609567
-
An efficient gradient-based algorithm for online training of recurrent network trajectories
-
R. J. Williams and J. Peng, "An efficient gradient-based algorithm for online training of recurrent network trajectories," Neural Comput. vol. 2, no. 4, pp. 490-501, 1990.
-
(1990)
Neural Comput
, vol.2
, Issue.4
, pp. 490-501
-
-
Williams, R.J.1
Peng, J.2
-
29
-
-
0026923239
-
Optimal filtering algorithms for fast learning in feedforward neural networks
-
Sep./Oct
-
S. Shah, F. Palmieri, and M. Datum, "Optimal filtering algorithms for fast learning in feedforward neural networks," Neural Netw., vol. 5, no. 5, pp. 779-787, Sep./Oct. 1992.
-
(1992)
Neural Netw
, vol.5
, Issue.5
, pp. 779-787
-
-
Shah, S.1
Palmieri, F.2
Datum, M.3
-
30
-
-
0003529238
-
-
Ph.D. dissertation, Committee Appl. Math, Harvard Univ, Cambridge, MA
-
P. J. Werbos, "Beyond regression: New tools for prediction and analysis in the behavioral sciences," Ph.D. dissertation, Committee Appl. Math, Harvard Univ., Cambridge, MA, 1974.
-
(1974)
Beyond regression: New tools for prediction and analysis in the behavioral sciences
-
-
Werbos, P.J.1
-
31
-
-
0028401356
-
Steepest descent algorithms for neural network controllers and filters
-
Mar
-
S. W. Piche, "Steepest descent algorithms for neural network controllers and filters," IEEE Trans. Neural Netw., vol. 5, no. 2, pp. 198-212, Mar. 1994.
-
(1994)
IEEE Trans. Neural Netw
, vol.5
, Issue.2
, pp. 198-212
-
-
Piche, S.W.1
|