-
4
-
-
80052951147
-
New trends in neurocybernetics
-
R. Tadeusiewicz, "New Trends in Neurocybernetics," Comput. Methods Materials Sci., vol. 10, no. 1, pp. 1-7, 2010.
-
(2010)
Comput. Methods Materials Sci.
, vol.10
, Issue.1
, pp. 1-7
-
-
Tadeusiewicz, R.1
-
5
-
-
84903708246
-
-
Boca Raton: CRC Press, Taylor & Francis Group
-
R. Tadeusiewicz, R. Chaki, and N. Chaki, Exploring Neural Networks with C#, Boca Raton: CRC Press, Taylor & Francis Group, 2014.
-
(2014)
Exploring Neural Networks with C#
-
-
Tadeusiewicz, R.1
Chaki, R.2
Chaki, N.3
-
6
-
-
0034207989
-
VLSI implementation of neural networks
-
Jun.
-
B. M. Wilamowski, J. Bifnet, and M. O. Kaynak, "VLSI implementation of neural networks," Int. J. Neural Syst., vol. 10, no. 3, pp. 191-197, Jun. 2000.
-
(2000)
Int. J. Neural Syst.
, vol.10
, Issue.3
, pp. 191-197
-
-
Wilamowski, B.M.1
Bifnet, J.2
Kaynak, M.O.3
-
8
-
-
1542786199
-
Artificial neural networks on massively parallel computer hardware
-
U. Seiffert, "Artificial neural networks on massively parallel computer hardware," Neurocomputing, vol. 57, pp. 135-150, 2004.
-
(2004)
Neurocomputing
, vol.57
, pp. 135-150
-
-
Seiffert, U.1
-
9
-
-
35748936475
-
Graph theoretical representation of ANN architectures on regular two-dimensional grids for VLSI implementations
-
S. C. Stilkerich, "Graph theoretical representation of ANN architectures on regular two-dimensional grids for VLSI implementations," Neurocomputing, vol. 71, pp. 45-70, 2007.
-
(2007)
Neurocomputing
, vol.71
, pp. 45-70
-
-
Stilkerich, S.C.1
-
10
-
-
0025503558
-
Backpropagation through time: What it does and how to do it
-
Oct.
-
J. Werbos, "Backpropagation through time: What it does and how to do it," Proc. IEEE, vol. 78, no. 10, pp. 1550-1560, Oct. 1990.
-
(1990)
Proc. IEEE
, vol.78
, Issue.10
, pp. 1550-1560
-
-
Werbos, J.1
-
11
-
-
0025488663
-
30 years of adaptive neural networks: Perceptron, madaline, and backpropagation
-
Sep.
-
B. Widrow and M. Lehr, "30 years of adaptive neural networks: perceptron, madaline, and backpropagation," Proc. IEEE, vol. 78, no. 9, pp. 1415-1442, Sep. 1990.
-
(1990)
Proc. IEEE
, vol.78
, Issue.9
, pp. 1415-1442
-
-
Widrow, B.1
Lehr, M.2
-
13
-
-
78149358747
-
Neural network learning without backpropagation
-
Nov.
-
B. Wilamowski and H. Yu, "Neural network learning without backpropagation," IEEE Trans. Neural Netw., vol. 21, no. 11, pp. 1793-1803, Nov. 2010.
-
(2010)
IEEE Trans. Neural Netw.
, vol.21
, Issue.11
, pp. 1793-1803
-
-
Wilamowski, B.1
Yu, H.2
-
16
-
-
84861027796
-
Optimal training strategies for locally recurrent neural networks
-
K. Patan and M. Patan, "Optimal Training Strategies for Locally Recurrent Neural Networks," J. Artificial Intell. Soft Comput. Research, vol. 1, no. 2, pp. 103-114, 2011.
-
(2011)
J. Artificial Intell. Soft Comput. Research
, vol.1
, Issue.2
, pp. 103-114
-
-
Patan, K.1
Patan, M.2
-
19
-
-
0001414608
-
Generalization of backpropagation to recurrent anf higher order neural networks
-
New York, NY, USA
-
F. J. Pineda, "Generalization of backpropagation to recurrent anf higher order neural networks," in presented at the Neural Information Processing Systems. New York, NY, USA, pp. 602-611.
-
Presented at the Neural Information Processing Systems
, pp. 602-611
-
-
Pineda, F.J.1
-
20
-
-
84939249393
-
Training recurrent neural networks for filtering and control
-
Boca Raton, FL, USA: CRC Press
-
M. T. Hagan, O. De Jezúsi, and R. Schultz, "Training recurrent neural networks for filtering and control," Recurrent Neural Networks - Models, Capacities and Applications. Boca Raton, FL, USA: CRC Press, 2001, pp. 327-356.
-
(2001)
Recurrent Neural Networks - Models, Capacities and Applications
, pp. 327-356
-
-
Hagan, M.T.1
De Jezúsi, O.2
Schultz, R.3
-
21
-
-
26444565569
-
Finding structure in time
-
J. Elman, "Finding structure in time," Cognitive Sci., vol. 14, pp. 179-211, 1990.
-
(1990)
Cognitive Sci.
, vol.14
, pp. 179-211
-
-
Elman, J.1
-
22
-
-
0001202594
-
A learning algorithm for continually running fully recurrent
-
R. Williams and D. Zipser, "A learning algorithm for continually running fully recurrent," Neural Comput., vol. 1, pp. 270-280, 1989.
-
(1989)
Neural Comput.
, vol.1
, pp. 270-280
-
-
Williams, R.1
Zipser, D.2
-
23
-
-
48349105296
-
Parallel realisation of the recurrent RTRN neural network learning
-
J. Bilski and J. Smolag, "Parallel realisation of the recurrent RTRN neural network learning," in Proc. 9th Int. Conf. Artif. Intell. Soft Comput., 2008, no. 5097, pp. 11-16.
-
(2008)
Proc. 9th Int. Conf. Artif. Intell. Soft Comput.
, Issue.5097
, pp. 11-16
-
-
Bilski, J.1
Smolag, J.2
-
24
-
-
77955439236
-
Parallel realisation of the recurrent Elman neural network learning
-
J. Bilski and J. Smoląg, "Parallel realisation of the recurrent Elman neural network learning," in Proc. 10th Int. Conf. Artif. Intell. Softw. Comput., 2010, no. 6114, pp. 19-25.
-
(2010)
Proc. 10th Int. Conf. Artif. Intell. Softw. Comput.
, Issue.6114
, pp. 19-25
-
-
Bilski, J.1
Smoląg, J.2
-
26
-
-
35748941248
-
A high bit resolution FPGA implementation of a FNN with a new algorithm for the activation function
-
P. Ferreira, P. Ribeiro, A. Antunesi, and F. M. Dias, "A high bit resolution FPGA implementation of a FNN with a new algorithm for the activation function," Neurocomputing, vol. 71, pp. 71-77, 2007.
-
(2007)
Neurocomputing
, vol.71
, pp. 71-77
-
-
Ferreira, P.1
Ribeiro, P.2
Antunesi, A.3
Dias, F.M.4
-
27
-
-
28344446251
-
Simultaneous perturbation learning rule for recurrent neural networks and its FPGA implementation
-
Nov.
-
Y. Maeda and M. Wakamura, "Simultaneous perturbation learning rule for recurrent neural networks and its FPGA implementation," IEEE Trans. Neural Netw., vol. 16, no. 6, pp. 1664-1672, Nov. 2005.
-
(2005)
IEEE Trans. Neural Netw.
, vol.16
, Issue.6
, pp. 1664-1672
-
-
Maeda, Y.1
Wakamura, M.2
-
28
-
-
67549117130
-
Neural network implementation using CUDA and OpenMP
-
Canberra, Australia
-
H. Jang, A. Park, and i K. Jung, "Neural network implementation using CUDA and OpenMP," presented at the Digital Image Comput.: Tech. Appl., Canberra, Australia, 2008.
-
(2008)
Presented at the Digital Image Comput.: Tech. Appl.
-
-
Jang, H.1
Park, A.2
Jung, I.K.3
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