Identification of Crack Shape Hidden in Solid by Means of Neural Network and Computational Mechanics

Inverse Problems in Engineering Mechanics ◽

10.1007/978-3-642-52439-4_21 ◽

1993 ◽

pp. 213-222 ◽

Author(s):

G. Yagawa ◽

S. Yoshimura ◽

Y. Mochizuki ◽

T. Oishi

Keyword(s):

Neural Network ◽

Computational Mechanics ◽

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System Identification Using Neural Network and Computational Mechanics. 1st Report. Comparison of Holographic Neural Network and Back Propagation Neural Network.

TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C ◽

10.1299/kikaic.64.1574 ◽

1998 ◽

Vol 64 (621) ◽

pp. 1574-1579 ◽

Author(s):

Ichiro HAGIWARA ◽

Ayuko INOUE ◽

Qinzhong SHI

Keyword(s):

Neural Network ◽

System Identification ◽

Computational Mechanics ◽

Back Propagation ◽

Back Propagation Neural Network

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Quantitative Nondestructive Evaluation with Laser Ultrasonics Using Neural Network and Computational Mechanics

Computational Mechanics ’95 ◽

10.1007/978-3-642-79654-8_26 ◽

1995 ◽

pp. 158-163

Author(s):

A. Oishi ◽

K. Yamada ◽

S. Yoshimura ◽

G. Yagawa

Keyword(s):

Neural Network ◽

Nondestructive Evaluation ◽

Computational Mechanics ◽

Laser Ultrasonics

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Defect Identification Using Neural Network and Computational Mechanics. Its Application to UT-Based Nondestructive Evaluation.

TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series A ◽

10.1299/kikaia.60.264 ◽

1994 ◽

Vol 60 (569) ◽

pp. 264-271

Author(s):

Atsuya Oishi ◽

Katsutoshi Yamada ◽

Shinobu Yoshimura ◽

Genki Yagawa

Keyword(s):

Neural Network ◽

Nondestructive Evaluation ◽

Computational Mechanics ◽

Defect Identification

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Neural Network vs. Computational Mechanics.

TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series A ◽

10.1299/kikaia.57.1944 ◽

1991 ◽

Vol 57 (541) ◽

pp. 1944-1951 ◽

Author(s):

Genki YAGAWA

Keyword(s):

Neural Network ◽

Computational Mechanics

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System Identification Using Neural Network and Computational Mechanics. 5th Report. Reduction of the Number of Measurement Points and Measurement Parameter.

TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C ◽

10.1299/kikaic.68.754 ◽

2002 ◽

Vol 68 (667) ◽

pp. 754-760

Author(s):

Qinzhong SHI ◽

Ichiro HAGIWARA ◽

Xiang SU

Keyword(s):

Neural Network ◽

System Identification ◽

Computational Mechanics

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System Ihentification Using Neural Network and Computational Mechanics. 3rd Report. Study of Structure Damage Detection in Wide Range.

TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C ◽

10.1299/kikaic.65.2771 ◽

1999 ◽

Vol 65 (635) ◽

pp. 2771-2778

Author(s):

Qinzhong SHI ◽

Ichiro HAGIWARA ◽

Toshiaki SEKINE

Keyword(s):

Neural Network ◽

Damage Detection ◽

Computational Mechanics ◽

Structure Damage ◽

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Inverse Analyses by Means of the Combination of Multilayer Neural Network and Computational Mechanics. Study on Learning and Estimating Processes and Its Application to Defect Identification.

TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series A ◽

10.1299/kikaia.57.1922 ◽

1991 ◽

Vol 57 (540) ◽

pp. 1922-1929 ◽

Author(s):

Yoshihiko MOCHIZUKI ◽

Genki YAGAWA ◽

Shinobu YOSHIMURA

Keyword(s):

Neural Network ◽

Computational Mechanics ◽

Defect Identification

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Inverse Analyses by Means of Hierarchical Neural Network and Computational Mechanics with Application to 3D Crack Identification.

TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series A ◽

10.1299/kikaia.59.526 ◽

1993 ◽

Vol 59 (559) ◽

pp. 526-534 ◽

Author(s):

Genki Yagawa ◽

Shinobu Yoshimura ◽

Takahiro Oishi

Keyword(s):

Neural Network ◽

Computational Mechanics ◽

Crack Identification ◽

Hierarchical Neural Network

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UT-based Defect Identification Using Neural Network and Computational Mechanics (In Case of Multiple Defects).

TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series A ◽

10.1299/kikaia.62.1479 ◽

1996 ◽

Vol 62 (598) ◽

pp. 1479-1487

Author(s):

Atsuya OISHI ◽

Katsutoshi YAMADA ◽

Shinobu YOSHIMURA ◽

Genki YAGAWA

Keyword(s):

Neural Network ◽

Computational Mechanics ◽

Defect Identification ◽

Multiple Defects

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A robust solution of a statistical inverse problem in multiscale computational mechanics using an artificial neural network

Computer Methods in Applied Mechanics and Engineering ◽

10.1016/j.cma.2020.113540 ◽

2021 ◽

Vol 373 ◽

pp. 113540

Author(s):

Florent Pled ◽

Christophe Desceliers ◽

Tianyu Zhang

Keyword(s):

Neural Network ◽

Inverse Problem ◽

Artificial Neural Network ◽

Computational Mechanics ◽

Robust Solution ◽

Artificial Neural ◽

Statistical Inverse Problem

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