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Neural Network-Based Inverse Analysis for Defect Identification with Laser Ultrasonics

✍ Scribed by A. Oishi; K. Yamada; S. Yoshimura; G. Yagawa; S. Nagai; Y. Matsuda

Book ID
105844823
Publisher
Springer
Year
2001
Tongue
English
Weight
408 KB
Volume
13
Category
Article
ISSN
0934-9847

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## Abstract This article describes a novel implementation of the dual‐mode (DM) control utilizing a neural network inverse model on a multivariable process (a steel pickling process). This process is highly nonlinear with variable‐interaction, and is multivariable in nature, hence an accurately non