-
1
-
-
78649479499
-
A bicmos analog neural networkwith dynamically updated weights
-
T. Morishita, Y. Tamura, T. Otsuki, and G. Kano, "A BiCMOS analog neural networkwith dynamically updated weights," IEICE Trans. Electron., vol. 75, no. 3, pp. 297-302, 1992.
-
(1992)
IEICE Trans. Electron.
, vol.75
, Issue.3
, pp. 297-302
-
-
Morishita, T.1
Tamura, Y.2
Otsuki, T.3
Kano, G.4
-
2
-
-
0000477587
-
VLSI implementation of a neural network memory with several hundreds of neurons
-
H. P. Graf, L. D. Jackel, R. E. Howard, B. Straughn, J. S. Denker,W. Hubbard, D. M. Tennant, and D. Schwartz, "VLSI implementation of a neural network memory with several hundreds of neurons," in Proc. AIP Conf. Neural Netw., 1987, pp. 182-187.
-
(1987)
Proc. AIP Conf. Neural Netw.
, pp. 182-187
-
-
Graf, H.P.1
Jackel, L.D.2
Howard, R.E.3
Straughn, B.4
Denker, J.S.5
Hubbard, W.6
Tennant, D.M.7
Schwartz, D.8
-
3
-
-
0024909727
-
An electrically trainable artificial neutral network (etann) with 102 040 floating gate synapses
-
M. Holler, S. Tam, H. Castro, and R. Benson, "An electrically trainable artificial neutral network (ETANN) with 102 040 floating gate synapses," in Proc. Neural Netw. Int. Joint Conf., 1989, pp. 191-196.
-
(1989)
Proc. Neural Netw. Int. Joint Conf.
, pp. 191-196
-
-
Holler, M.1
Tam, S.2
Castro, H.3
Benson, R.4
-
4
-
-
43049126833
-
The missing memristor found
-
D. B. Strukov, G. S. Snider, D. R. Stewart, and R. S. Williams, "The missing memristor found," Nature, vol. 453, pp. 80-83, 2008.
-
(2008)
Nature
, vol.453
, pp. 80-83
-
-
Strukov, D.B.1
Snider, G.S.2
Stewart, D.R.3
Williams, R.S.4
-
5
-
-
79952950219
-
Resistance switching memories are memristors
-
L. O. Chua, "Resistance switching memories are memristors," Appl. Phys. A, vol. 102, pp. 765-783, 2011.
-
(2011)
Appl. Phys. A
, vol.102
, pp. 765-783
-
-
Chua, L.O.1
-
6
-
-
84884909509
-
Composite behavior of multiple memristor circuits
-
R. K. Budhathoki, M. P. Sah, S. P. Adhikari, H. Kim, and L. Chua, "Composite behavior of multiple memristor circuits," IEEE Trans. Circuit Syst. I, Reg. Papers, vol. 60, no. 10, pp. 2688-2700, 2013.
-
(2013)
IEEE Trans. Circuit Syst. I, Reg. Papers
, vol.60
, Issue.10
, pp. 2688-2700
-
-
Budhathoki, R.K.1
Sah, M.P.2
Adhikari, S.P.3
Kim, H.4
Chua, L.5
-
7
-
-
84896263555
-
Transient behaviors of multiple memristor circuits based on flux charge relationship
-
R. K. Budhathoki, M. P. Sah, C. Yang, H. Kim, and L. Chua, "Transient behaviors of multiple memristor circuits based on flux charge relationship," Int. J. Bifurcation Chaos, vol. 24, no. 2, pp. 1430006-1-1430006-14, 2014.
-
(2014)
Int. J. Bifurcation Chaos
, vol.24
, Issue.2
, pp. 14300061-143000614
-
-
Budhathoki, R.K.1
Sah, M.P.2
Yang, C.3
Kim, H.4
Chua, L.5
-
8
-
-
34548685897
-
Self-organized computation with unreliable, memristivenanodevices
-
G. Snider, "Self-organized computation with unreliable, memristivenanodevices," Nanotechnology, vol. 18, no. 36, pp. 1-13, 2007.
-
(2007)
Nanotechnology
, vol.18
, Issue.36
, pp. 1-13
-
-
Snider, G.1
-
9
-
-
79953272066
-
Dynamical properties and design analysis for nonvolatile memristor memories
-
Y. Ho,G.M.Huang, and P. Li, "Dynamical properties and design analysis for nonvolatile memristor memories," IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 58, no. 4, pp. 724-736, 2011.
-
(2011)
IEEE Trans. Circuits Syst. I, Reg. Papers
, vol.58
, Issue.4
, pp. 724-736
-
-
Ho, Y.1
Huang, G.M.2
Li, P.3
-
10
-
-
84858961119
-
Memristor bridge synapses
-
Jun
-
H. Kim, M. P Sah, C. Yang, T. Roska, and L. O. Chua, "Memristor bridge synapses," Proc. IEEE, vol. 100, pp. 2061-2070, Jun. 2012.
-
(2012)
Proc. IEEE
, vol.100
, pp. 2061-2070
-
-
Kim, H.1
Sah, M.P.2
Yang, C.3
Roska, T.4
Chua, L.O.5
-
11
-
-
84855666715
-
Neural synaptic weighting with a pulse-based memristor circuit
-
H. Kim, M. P. Sah, C. Yang, T. Roska, and L. O. Chua, "Neural synaptic weighting with a pulse-based memristor circuit," IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 59, no. 1, pp. 148-158, 2012.
-
(2012)
IEEE Trans. Circuits Syst. I, Reg. Papers
, vol.59
, Issue.1
, pp. 148-158
-
-
Kim, H.1
Sah, M.P.2
Yang, C.3
Roska, T.4
Chua, L.O.5
-
12
-
-
77951026760
-
Nanoscale memristor device as synapse in neuromorphic systems
-
S.H. Jo, T. Chang, I. Ebong, B.B. Bhadviya, P.Mazumder, andW. Lu, "Nanoscale memristor device as synapse in neuromorphic systems," Nano Lett., vol. 10, pp. 1297-1301, 2010.
-
(2010)
Nano Lett.
, vol.10
, pp. 1297-1301
-
-
Jo, S.H.1
Chang, T.2
Ebong, I.3
Bhadviya, B.B.4
Mazumder, P.5
Lu, W.6
-
13
-
-
71249131272
-
Implementation of biologically plausible spiking neural network models on the memristor crossbarbased cmos/nano circuits
-
A. Afifi, A. Ayatollahi, and F. Raissi, "Implementation of biologically plausible spiking neural network models on the memristor crossbarbased CMOS/nano circuits," in Proc. Eur. Conf. Circuit Theory Design (ECCTD), 2009, pp. 563-566.
-
(2009)
Proc. Eur. Conf. Circuit Theory Design (ECCTD)
, pp. 563-566
-
-
Afifi, A.1
Ayatollahi, A.2
Raissi, F.3
-
14
-
-
84874044335
-
Neural learning circuits utilizing nano-crystalline silicon transistors and memristors
-
K. D. Cantley, A. Subramaniam, H. J. Stiegler, R. A. Chapman, and E. M. Vogel, "Neural learning circuits utilizing nano-crystalline silicon transistors and memristors," IEEE Trans. Neural Netw. Learn. Syst., vol. 23, no. 4, pp. 565-573, 2012.
-
(2012)
IEEE Trans. Neural Netw. Learn. Syst.
, vol.23
, Issue.4
, pp. 565-573
-
-
Cantley, K.D.1
Subramaniam, A.2
Stiegler, H.J.3
Chapman, R.A.4
Vogel, E.M.5
-
15
-
-
80052632703
-
Hebbian learning in spiking neural networks with nano-crystalline silicon tfts and memristive synapses
-
Sep
-
K. D. Cantley, A. Subramaniam, H. Stiegler, R. Chapman, and E. Vogel, "Hebbian learning in spiking neural networks with nano-crystalline silicon TFTs and memristive synapses," IEEE Trans. Nanotechnol., vol. 10, no. 5, pp. 1066-1073, Sep. 2011.
-
(2011)
IEEE Trans. Nanotechnol.
, vol.10
, Issue.5
, pp. 1066-1073
-
-
Cantley, K.D.1
Subramaniam, A.2
Stiegler, H.3
Chapman, R.4
Vogel, E.5
-
16
-
-
51949112980
-
Spike-timing-dependent learning in memristive nanodevices
-
Jun
-
G. S. Snider, "Spike-timing-dependent learning in memristive nanodevices," in Proc. NANOARCH, Jun. 2008, pp. 85-92.
-
(2008)
Proc. NANOARCH
, pp. 85-92
-
-
Snider, G.S.1
-
17
-
-
84876895659
-
Memristor bridge synapse-based neural network and its learning
-
Sep
-
S. P. Adhikari, C. Yang, H. Kim, and L. O. Chua, "Memristor bridge synapse-based neural network and its learning," IEEE Trans. Neural Netw. Learn. Syst., vol. 23, no. 9, pp. 1426-1435, Sep. 2012.
-
(2012)
IEEE Trans. Neural Netw. Learn. Syst.
, vol.23
, Issue.9
, pp. 1426-1435
-
-
Adhikari, S.P.1
Yang, C.2
Kim, H.3
Chua, L.O.4
-
18
-
-
0026712578
-
Weight perturbation: An optimal architecture and learning technique for analog vlsi feedforward and recurrent multilayer networks
-
M. Jabri and B. Flower, "Weight perturbation: An optimal architecture and learning technique for analog VLSI feedforward and recurrent multilayer networks," IEEE Trans. Neural Netw., vol. 3, no. 1, pp. 154-157, 1992.
-
(1992)
IEEE Trans. Neural Netw.
, vol.3
, Issue.1
, pp. 154-157
-
-
Jabri, M.1
Flower, B.2
-
19
-
-
0000610830
-
Summed weight neuron perturbation: An o(n) improvement over weight perturbation
-
San Mateo, CA, USA: Morgan Kaufman
-
B. Flower and M. Jabri, "Summed weight neuron perturbation: An O(n) improvement over weight perturbation," in Advances in Neural Information Processing Systems. San Mateo, CA, USA: Morgan Kaufman, 1993, vol. 5.
-
(1993)
Advances in Neural Information Processing Systems
, vol.5
-
-
Flower, B.1
Jabri, M.2
-
20
-
-
0001149625
-
A fast stochastic error-descent algorithmfor supervised learning and optimization
-
S. J. Hanson, J. D. Cowan, and C. Lee, Eds. San Mateo, CA, USA: Morgan Kaufman
-
G. Cauwenberghs, "A fast stochastic error-descent algorithmfor supervised learning and optimization," in Advances in Neural Information Processing Systems, S. J. Hanson, J. D. Cowan, and C. Lee, Eds. San Mateo, CA, USA: Morgan Kaufman, 1993, vol. 5.
-
(1993)
Advances in Neural Information Processing Systems
, vol.5
-
-
Cauwenberghs, G.1
-
21
-
-
0029048472
-
A learning rule of neural networks via simultaneous perturbation and its hardware implementation
-
Y. Maeda, H. Hirano, and Y. Kanata, "A learning rule of neural networks via simultaneous perturbation and its hardware implementation," Neural Netw., vol. 8, no. 2, pp. 251-259, 1995.
-
(1995)
Neural Netw.
, vol.8
, Issue.2
, pp. 251-259
-
-
Maeda, Y.1
Hirano, H.2
Kanata, Y.3
-
22
-
-
84921399215
-
Hebbian learning rules with memristors
-
Sep
-
D. Soudry, D. Di Castro, A. Gal, A. Kolodny, and S. Kvatinsky, "Hebbian learning rules with memristors," CCIT Rep. 840, Sep. 2013.
-
(2013)
CCIT Rep. 840
-
-
Soudry, D.1
Di Castro, D.2
Gal, A.3
Kolodny, A.4
Kvatinsky, S.5
-
23
-
-
0027872973
-
An analog neural network chip with random weight change learning algorithm
-
K. Hirotsu and M. A. Brooke, "An analog neural network chip with random weight change learning algorithm," in Proc. 1993 Int. Joint Conf. Neural Netw., pp. 3031-3034.
-
Proc. 1993 Int. Joint Conf. Neural Netw
, pp. 3031-3034
-
-
Hirotsu, K.1
Brooke, M.A.2
-
24
-
-
0031143347
-
Identification and control of induction motor stator currents using fast on-line random training of a neural network
-
May
-
B. Burton, F. Kamran, R. G. Harley, T. G. Habetler, M. A. Brooke, and R. Poddar, "Identification and control of induction motor stator currents using fast on-line random training of a neural network," IEEE Trans. Ind. Appl., vol. 33, no. 3, pp. 697-704, May 1997.
-
(1997)
IEEE Trans. Ind. Appl.
, vol.33
, Issue.3
, pp. 697-704
-
-
Burton, B.1
Kamran, F.2
Harley, R.G.3
Habetler, T.G.4
Brooke, M.A.5
Poddar, R.6
-
25
-
-
0036737353
-
A cmos feedforward neural-network chip with on-chip parallel learning for oscillation cancellation
-
J. Liu, M. Brooke, and K. Hirotsu, "A CMOS feedforward neural-network chip with on-chip parallel learning for oscillation cancellation," IEEE Trans. Neural Netw., vol. 13, no. 5, pp. 1178-1186, 2002.
-
(2002)
IEEE Trans. Neural Netw.
, vol.13
, Issue.5
, pp. 1178-1186
-
-
Liu, J.1
Brooke, M.2
Hirotsu, K.3
-
26
-
-
84921399214
-
-
Neural networks for face recognition
-
"Neural networks for face recognition" [Online]. Available: http://www.cs.cmu.edu/afs/cs.cmu.edu/user/mitchell/ftp/faces.html
-
-
-
-
27
-
-
0004255908
-
-
1st ed. New York: WCB/McGraw-Hill
-
T. Mitchell, Machine Learning, 1st ed. New York: WCB/McGraw-Hill, 1997.
-
(1997)
Machine Learning
-
-
Mitchell, T.1
|