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Robust topology optimization with low rank approximation using artificial neural networks
Computational Mechanics
◽
10.1007/s00466-021-02069-3
◽
2021
◽
Author(s):
Vahid Keshavarzzadeh
◽
Robert M. Kirby
◽
Akil Narayan
Keyword(s):
Neural Networks
◽
Artificial Neural Networks
◽
Topology Optimization
◽
Low Rank
◽
Low Rank Approximation
◽
Robust Topology Optimization
◽
Rank Approximation
◽
Artificial Neural
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References
Deep compression of convolutional neural networks with low-rank approximation
ETRI Journal
◽
10.4218/etrij.2018-0065
◽
2018
◽
Vol 40
(4)
◽
pp. 421-434
◽
Cited By ~ 2
Author(s):
Marcella Astrid
◽
Seung-Ik Lee
Keyword(s):
Neural Networks
◽
Convolutional Neural Networks
◽
Low Rank
◽
Low Rank Approximation
◽
Rank Approximation
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Accelerating gradient-based topology optimization design with dual-model artificial neural networks
Structural and Multidisciplinary Optimization
◽
10.1007/s00158-020-02770-6
◽
2020
◽
Author(s):
Chao Qian
◽
Wenjing Ye
Keyword(s):
Neural Networks
◽
Artificial Neural Networks
◽
Topology Optimization
◽
Optimization Design
◽
Dual Model
◽
Gradient Based
◽
Artificial Neural
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Topology optimization for artificial neural networks using differential evolution
The 2010 International Joint Conference on Neural Networks (IJCNN)
◽
10.1109/ijcnn.2010.5596287
◽
2010
◽
Cited By ~ 5
Author(s):
Nicole L. Mineu
◽
Teresa B. Ludermir
◽
Leandro M. Almeida
Keyword(s):
Neural Networks
◽
Artificial Neural Networks
◽
Topology Optimization
◽
Differential Evolution
◽
Artificial Neural
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Constrained Optimization Based Low-Rank Approximation of Deep Neural Networks
Computer Vision – ECCV 2018 - Lecture Notes in Computer Science
◽
10.1007/978-3-030-01249-6_45
◽
2018
◽
pp. 746-761
◽
Cited By ~ 4
Author(s):
Chong Li
◽
C. J. Richard Shi
Keyword(s):
Neural Networks
◽
Constrained Optimization
◽
Deep Neural Networks
◽
Low Rank
◽
Low Rank Approximation
◽
Rank Approximation
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Determination of S-N curves with the application of artificial neural networks
Fatigue & Fracture of Engineering Materials & Structures
◽
10.1046/j.1460-2695.1999.00198.x
◽
1999
◽
Vol 22
(8)
◽
pp. 723-728
◽
Cited By ~ 1
Author(s):
Artymiak
◽
Bukowski
◽
Feliks
◽
Narberhaus
◽
Zenner
Keyword(s):
Neural Networks
◽
Artificial Neural Networks
◽
Artificial Neural
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Applications of artificial neural networks to adaptive training systems.
PsycEXTRA Dataset
◽
10.1037/e456072004-001
◽
1992
◽
Author(s):
Peter L. Rothman
Keyword(s):
Neural Networks
◽
Artificial Neural Networks
◽
Adaptive Training
◽
Training Systems
◽
Artificial Neural
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Use of Artificial Neural Networks for Risk Assessment for Work and Organizational Issues
PsycEXTRA Dataset
◽
10.1037/e666722007-001
◽
2006
◽
Author(s):
Maria Karanika
◽
Tom Cox
Keyword(s):
Neural Networks
◽
Risk Assessment
◽
Artificial Neural Networks
◽
Organizational Issues
◽
Artificial Neural
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Artificial neural networks for diagnosis and prognosis in prostate cancer
Seminars in Urologic Oncology
◽
10.1053/suro.2002.32492
◽
2002
◽
Vol 20
(2)
◽
pp. 89-95
◽
Cited By ~ 35
Author(s):
Guido Schwarzer
◽
Martin Schumacher
Keyword(s):
Prostate Cancer
◽
Neural Networks
◽
Artificial Neural Networks
◽
Diagnosis And Prognosis
◽
Artificial Neural
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FUTURE OF ARTIFICIAL NEURAL NETWORKS IN SPACE EXPLORATION AND SPACE ENGINEERING
Scientific Review Series 1 Economics and Law
◽
10.33051/2076-4650-2018-6-6-11
◽
2018
◽
pp. 6-11
Author(s):
Kobiljon Kh. Zoidov
◽
◽
Svetlana V. Ponomareva
◽
Daniel I. Serebryansky
◽
◽
...
Keyword(s):
Neural Networks
◽
Artificial Neural Networks
◽
Space Exploration
◽
Artificial Neural
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Differentiation Between Mass-forming Type Peripheral Cholangiocarcinoma and Hepatic Abscesses: Application of Artificial Neural Networks to CT Images
Journal of the Korean Radiological Society
◽
10.3348/jkrs.2005.53.5.343
◽
2005
◽
Vol 53
(5)
◽
pp. 343
◽
Cited By ~ 1
Author(s):
Nak Jong Seong
◽
Jeong Min Lee
◽
Se Hyung Kim
◽
Joon Koo Han
◽
Young Jun Kim
◽
...
Keyword(s):
Neural Networks
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Artificial Neural Networks
◽
Ct Images
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Peripheral Cholangiocarcinoma
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Artificial Neural
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