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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Deep compression of convolutional neural networks with low-rank approximation

ETRI Journal ◽

10.4218/etrij.2018-0065 ◽

2018 ◽

Vol 40 (4) ◽

pp. 421-434 ◽

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 ◽

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 ◽

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 ◽

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 ◽

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 ◽

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 ◽

Author(s):

Nak Jong Seong ◽

Jeong Min Lee ◽

Se Hyung Kim ◽

Joon Koo Han ◽

Young Jun Kim ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Ct Images ◽

Peripheral Cholangiocarcinoma ◽

Artificial Neural

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