-
1
-
-
0000988422
-
Branch-and-bound methods: A survey
-
E. L. Lawler and D. E. Wood, “Branch-and-bound methods: A survey,” Operation Res., vol. 14, no. 4, pp. 679–719, 1966.
-
(1966)
Operation Res.
, vol.14
, Issue.4
, pp. 679-719
-
-
Lawler, E.L.1
Wood, D.E.2
-
2
-
-
0019477279
-
The Legrangian relaxation method for solving integer programming problems
-
M.L. Fisher, “The Legrangian relaxation method for solving integer programming problems,” Manag. Sci., vol. 27, no. 1, pp. 1–18, 1981.
-
(1981)
Manag. Sci.
, vol.27
, Issue.1
, pp. 1-18
-
-
Fisher, M.L.1
-
4
-
-
26444479778
-
Optimization by simulated annealing
-
May
-
S. Kirkpatrick, C. D. Gelatt, Jr., and M.P. Vecchi, “Optimization by simulated annealing,” Science, vol. 220, no. 4598, pp. 671–680, May 1983.
-
(1983)
Science
, vol.220
, Issue.4598
, pp. 671-680
-
-
Kirkpatrick, S.1
Gelatt, C.D.2
Vecchi, M.P.3
-
5
-
-
0002116344
-
Optimization by mean field annealing
-
San Mateo, CA: Morgan Kauffman Publishers:
-
G. L. Bilbro, R. Mann, T. Miller, W. Snyder, D. E. Van den Bout, and M. White, “Optimization by mean field annealing,” in Advances in Neural Information Processing Systems. San Mateo, CA: Morgan Kauffman Publishers: 1989, pp. 91–98.
-
(1989)
Advances in Neural Information Processing Systems
, pp. 91-98
-
-
Bilbro, G.L.1
Mann, R.2
Miller, T.3
Snyder, W.4
Van den Bout, D.E.5
White, M.6
-
6
-
-
0342294401
-
Range image restoration using mean field annealing
-
San Mateo, CA: Morgan Kauffman Publishers
-
G. L. Bilbro and W. Snyder, “Range image restoration using mean field annealing,” in Advances in Neural Information Processing Systems. San Mateo, CA: Morgan Kauffman Publishers, 1989, pp. 594–601.
-
(1989)
Advances in Neural Information Processing Systems
, pp. 594-601
-
-
Bilbro, G.L.1
Snyder, W.2
-
7
-
-
0024125849
-
An investigation on local minima of Hopfield network for optimization circuits
-
July San Diego, CA
-
B. W. Lee and B. J. Sheu, “An investigation on local minima of Hopfield network for optimization circuits,” in IEEE Int. Conf. Neural Networks, San Diego, CA, July 1988, vol. I, pp. 45–51.
-
(1988)
IEEE Int
, vol.1
, pp. 45-51
-
-
Lee, B.W.1
Sheu, B.J.2
-
8
-
-
0025899865
-
Modified Hopfield neural networks for retrieving the optimal solution
-
Jan.
-
B. W. Lee and B.J. Sheu, “Modified Hopfield neural networks for retrieving the optimal solution,” IEEE Trans. Neural Networks, vol. 2, pp. 137–142, Jan. 1991.
-
(1991)
IEEE Trans. Neural Networks
, vol.2
, pp. 137-142
-
-
Lee, B.W.1
Sheu, B.J.2
-
9
-
-
0025446460
-
Graph partitioning using annealed neural networks
-
June
-
D. E. van den Bout and T. K. Miller, III, “Graph partitioning using annealed neural networks,” IEEE Trans. Neural Networks, vol. 1, pp. 192–203, June 1990.
-
(1990)
IEEE Trans. Neural Networks
, vol.1
, pp. 192-203
-
-
van den Bout, D.E.1
Miller, T. K.2
-
10
-
-
0026679383
-
Mean field annealing: A formalism for constructing GNC-like algorithms
-
Jan.
-
G. L. Bilbro, W. E. Snyder, S.J. Gamier, and J. W. Gault, “Mean field annealing: A formalism for constructing GNC-like algorithms,” IEEE Trans. Neural Networks, vol. 3, pp. 131–138, Jan. 1992.
-
(1992)
IEEE Trans. Neural Networks
, vol.3
, pp. 131-138
-
-
Bilbro, G.L.1
Snyder, W.E.2
Gamier, S.J.3
Gault, J.W.4
-
11
-
-
84941466870
-
An efficient algorithm for annealed neural networks with applications to optimization problems
-
A. Louri and H.J. Lee, “An efficient algorithm for annealed neural networks with applications to optimization problems,” IEEE Trans. Neural Networks, to be published.
-
IEEE Trans. Neural Networks to be published.
-
-
Louri, A.1
Lee, H.J.2
-
12
-
-
0001406440
-
A mean field theory learning algorithm for neural networks
-
C. Peterson and J. R. Anderson, “A mean field theory learning algorithm for neural networks,” Complex Systems, vol. 1, no. 5, pp. 995–1019, 1987.
-
(1987)
Complex Systems
, vol.1
, Issue.5
, pp. 995-1019
-
-
Peterson, C.1
Anderson, J.R.2
-
13
-
-
84902304316
-
Digital implementation issues of stochastic neural networks
-
Jan. Washington, DC
-
E.E. Pesulima, A. S. Pandya, and R. Shankar, “Digital implementation issues of stochastic neural networks,” in IEEE/INNS Inter. Joint Conf. Neural Networks Proc., vol. 2, Washington, DC, Jan. 1990, pp. 187–190.
-
(1990)
IEEE/INNS Inter. Joint
, vol.2
, pp. 187-190
-
-
Pesulima, E.E.1
Pandya, A.S.2
Shankar, R.3
-
14
-
-
0026392673
-
A neural architecture for the assignment problem: Simulation and VLSI implementation
-
July Seattle, WA
-
S. P. Eberhardt, T. Daud, D. A. Karns, R. Tawel, and A. P. Thakoor, “A neural architecture for the assignment problem: Simulation and VLSI implementation,” in IEEE/INNS Inter. Joint Conf. Neural Networks Proc., vol. 1, Seattle, WA, July 1991, pp. 421–428.
-
(1991)
IEEE/INNS Inter. Joint Conf. Neural Networks Proc.
, vol.1
, pp. 421-428
-
-
Eberhardt, S.P.1
Daud, T.2
Karns, D.A.3
Tawel, R.4
Thakoor, A.P.5
-
18
-
-
0024480849
-
Simulated Annealing Algorithms: An Overview
-
Jan.
-
R. A. Rutenbar, “Simulated Annealing Algorithms: An Overview,” IEEE Circuits Devices Mag., vol. 5, no. 1, pp. 19–26, Jan. 1989.
-
(1989)
IEEE Circuits Devices Mag.
, vol.5
, Issue.1
, pp. 19-26
-
-
Rutenbar, R.A.1
-
19
-
-
84944376306
-
Design-for-testability of PLA’s using statistical cooling
-
June Las Vegas, NV
-
M. M. Ligthart, E. H. L. Aarts, and F. P. M. Beenker, “Design for testability of PLA’s using statistical cooling,” in Proc. ACM/EEE 23nd Design Automation Conf, Las Vegas, NV, June 1986, pp. 339–345.
-
(1986)
Proc ACM/EEE 23nd Design Automation Conf
, pp. 339-345
-
-
Ligthart, M.M.1
Aarts, E.H.L.2
Beenker, F.P.M.3
-
20
-
-
33748891151
-
Delay reduction using simulated annealing
-
June Las Vegas, NV
-
J. d. Pincus and A. Despain, “Delay reduction using simulated annealing,” in Proc. ACM/IEEE 23nd Design Automation Conf, Las Vegas, NV, June 1986, pp. 690–695.
-
(1986)
Proc. ACM/IEEE 23nd Design Automation Conf
, pp. 690-695
-
-
Pincus, J.D.1
Despain, A.2
-
21
-
-
0022288935
-
Image restoration and segmentation using the annealing algorithm
-
Dec. Ft. Lauderdale, FL
-
E.D. Sontag and H.J. Sussann, “Image restoration and segmentation using the annealing algorithm,” in Proc. 24th Conf. Decision and Control, Ft. Lauderdale, FL, Dec. 1985, pp. 768–773.
-
(1985)
Proc. 24th Conf. Decision and Control
, pp. 768-773
-
-
Sontag, E.D.1
Sussann, H.J.2
-
22
-
-
0021518209
-
Stochastic Relaxation, Gibbs distributions, and the Bayesian Restoration of Images
-
Nov.
-
S. Geman and D. Geman, “Stochastic Relaxation, Gibbs distributions, and the Bayesian Restoration of Images,” IEEE Trans. Patt. Anal. Machine Intell., vol. PAMI-6, pp. 721–741, Nov. 1984.
-
(1984)
IEEE Trans. Patt. Anal. Machine Intell.
, vol.PAMI-6
, pp. 721-741
-
-
Geman, S.1
Geman, D.2
-
24
-
-
0024909727
-
An electrically trainable artificial neural network (ETANN) with 10240 Float gate synapses
-
Washington, DC June
-
M. Holler, S. Tam, H. Castro, and R. Benson, “An electrically trainable artificial neural network (ETANN) with 10240 2018 Float gate synapses,” in IEEE/INNS Inter. Joint Conf. Neural Networks Proc., vol. 2, Washington, DC, June 1989, pp. 191–196.
-
(1989)
IEEE/INNS Inter. Joint
, vol.2
, pp. 191-196
-
-
Holler, M.1
Tam, S.2
Castro, H.3
Benson, R.4
-
25
-
-
0025450122
-
A BiCMOS analog neural network with dynamically updated weights
-
San Francisco, CA Feb.
-
T. Morishita, Y. Tamura, and T. Otsuki, “A BiCMOS analog neural network with dynamically updated weights,” in Tech. Dig. IEEE Solid-State Circuits Conf, San Francisco, CA, Feb. 1990, pp. 142–143.
-
(1990)
Tech. Dig. IEEE Solid-State Circuits Conf
, pp. 142-143
-
-
Morishita, T.1
Tamura, Y.2
Otsuki, T.3
-
26
-
-
0025451128
-
A reconfigurable CMOS neural network
-
San Francisco, CA Feb.
-
H. P. Graf and D. Henderson, “A reconfigurable CMOS neural network,” in Tech. Dig. IEEE Int. Solid-State Circuits Conf, San Francisco, CA, Feb. 1990, pp. 144–145.
-
(1990)
Tech. Dig. IEEE Int. Solid-State Circuits Conf
, pp. 144-145
-
-
Graf, H.P.1
Henderson, D.2
-
27
-
-
0025448693
-
Learning of stable states in stochastic asymmetric networks
-
June
-
R. B. Allen and J. Alspector, “Learning of stable states in stochastic asymmetric networks,” IEEE Trans. Neural Networks, vol. 1, pp. 233–238, June 1990.
-
(1990)
IEEE Trans. Neural Networks
, vol.1
, pp. 233-238
-
-
Allen, R.B.1
Alspector, J.2
-
28
-
-
0025541485
-
VLSI image processors using analog programmable synapses and neurons
-
San Diego, CA June
-
B.W. Lee, J.-C. Lee, and B.J. Sheu, “VLSI image processors using analog programmable synapses and neurons,” in IEEE Int. Joint Conf Neural Networks, vol. II, San Diego, CA, June 1990, pp. 575–580.
-
(1990)
IEEE
, vol.2
, pp. 575-580
-
-
Lee, B.W.1
Lee, J.-C.2
Sheu, B.J.3
-
29
-
-
0025445432
-
Artificial neural networks using MOS analog multipliers
-
June
-
P.W. Hollis and J.J. Paulos, “Artificial neural networks using MOS analog multipliers,” IEEE J. Solid-State Circ., vol. 25, pp. 849–855, June 1990.
-
(1990)
IEEE J. Solid-State Circ.
, vol.25
, pp. 849-855
-
-
Hollis, P.W.1
Paulos, J.J.2
-
30
-
-
84911254853
-
An analog neural network processor with programmable network topology
-
San Francisco, CA Feb.
-
B. E. Boser and E. Sackinger, “An analog neural network processor with programmable network topology,” in Tech. Dig. IEEE Int. Solid-State Circuits Conf., San Francisco, CA, Feb. 1991, pp. 184–185.
-
(1991)
Tech. Dig. IEEE Int. Solid-State Circuits
, pp. 184-185
-
-
Boser, B.E.1
Sackinger, E.2
-
31
-
-
0026727537
-
A reconfigurable VLSI neural network
-
Jan.
-
S. Satyanarayana, Y. P. Tsividis, H. P. Graf, “A reconfigurable VLSI neural network,” IEEE J. Solid-State Circ., vol. 27, pp. 67–81, Jan. 1992.
-
(1992)
IEEE J. Solid-State Circ.
, vol.27
, pp. 67-81
-
-
Satyanarayana, S.1
Tsividis, Y.P.2
Graf, H.P.3
-
32
-
-
84939704058
-
An analog neural network processor for self-organizing mapping
-
Feb.
-
B.J. Sheu, J. Choi, and C.-F. Chang, “An analog neural network processor for self-organizing mapping,” in Tech. Dig. IEEE Int. Solid-State Circuits Conf, San Francisco, CA, Feb. 1992, pp. 136–137, 266.
-
(1992)
Tech. Dig. IEEE Int. Solid-State Circuits Conf
, pp. 136-137
-
-
Sheu, B.J.1
Choi, J.2
Chang, C.-F.3
-
33
-
-
84869991196
-
A cascadable neural network chip set with on-chip learning using noise and gain annealing
-
May
-
A Jayakumar and J. Alspector, “A cascadable neural network chip set with on-chip learning using noise and gain annealing,” in Proc. IEEE Custom Integrated Circuits, Boston, MA, May 1992, pp. 19.9.1-4.
-
(1992)
Proc. IEEE Custom Integrated Circuits
, pp. 14-19
-
-
Jayakumar, A.1
Alspector, J.2
-
34
-
-
0022721216
-
Simple ' ‘ neural ’ optimization networks: an A/D converter, signal decision circuit, and a linear programming circuit
-
May
-
D. W. Tank and J.J. Hopfield, “Simple ' ‘neural’ optimization networks: an A/D converter, signal decision circuit, and a linear programming circuit,” IEEE Trans. Circ. Syst., vol. CAS-33, pp. 533–541, May 1986.
-
(1986)
IEEE Trans. Circ. Syst.
, vol.CAS-33
, pp. 533-541
-
-
Tank, D.W.1
Hopfield, J.J.2
-
35
-
-
0004469897
-
Neurons with graded response have collective computational properties like those of two-state neurons
-
May
-
J.J. Hopfield, “Neurons with graded response have collective computational properties like those of two-state neurons,” Proc. Nat. Acad. Sci. U.S., vol. 81, pp. 3088–3092, May 1984
-
(1984)
Proc. Nat. Acad. Sci. U.S.
, vol.81
, pp. 3088-3092
-
-
Hopfield, J.J.1
-
37
-
-
84941486617
-
SPICE3 Version 3E1 Users Guide
-
California, Berkeley Apr.
-
B. Johnson, T. Quarles, A. R. Newton, D. O. Pederson, and A Sangiovanni-Vincentelli, “SPICE3 Version 3E1 Users Guide,” Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Apr. 1991.
-
(1991)
Department of Electrical Engineering and Computer Sciences, University of
-
-
Johnson, B.1
Quarles, T.2
Newton, A.R.3
Pederson, D.O.4
Sangiovanni-Vincentelli, A.5
-
38
-
-
0023401686
-
BSIM: Berkeley short-channel IGFET model for MOS transistors
-
Aug.
-
B. J. Sheu, D. L. Scharfetter, P. K. Ko, and M. -C. Jeng, “BSIM: Berkeley short-channel IGFET model for MOS transistors,” IEEE J. Solid-State Circuits, vol. SC-22, pp. 458–466, Aug. 1987.
-
(1987)
Jeng
, vol.SC-22
, pp. 458-466
-
-
Sheu, B.J.1
Scharfetter, D.L.2
Ko, P.K.3
Jeng, M.-C.4
-
39
-
-
0023998115
-
An MOS transistor charge model for VLSI design
-
Apr.
-
B. J. Sheu, W. -J. Hsu, and P. K. Ko, “An MOS transistor charge model for VLSI design,” IEEE Trans. Computer-Aided Design, vol. CAD-7, pp. 520–527, Apr. 1988.
-
(1988)
IEEE Trans. Computer-Aided Design
, vol.CAD-7
, pp. 520-527
-
-
Sheu, B.J.1
Hsu, W.J.2
Ko, P. K.3
-
40
-
-
0026382935
-
An accurate MOS transistor model for submicron VLSI circuits’BSIM_plus
-
May
-
S. M. Gowda, B. J. Sheu, and J. S. Cable, “An accurate MOS transistor model for submicron VLSI circuits—BSIM_plus,” in Proc. IEEE Custom Integrated Circuits Conf, San Diego, CA, May 1991, pp. 23.2.1-4.
-
(1991)
Proc. IEEE Custom Integrated Circuits Conf
, pp. 23-24
-
-
Gowda, S.M.1
Sheu, B.J.2
Cable, J.S.3
|