Response Simulation, Data Cleansing and Restoration of Dynamic and Static Measurements Based on Deep Learning Algorithms

Response Simulation, Data Cleansing and Restoration of Dynamic and Static Measurements Based on Deep Learning Algorithms

Abstract In this study, an output-based neuro controller was built based on the idea of the adaptive neuro-fuzzy inference system (ANFIS) and its capabilities in response simulation, data cleansing and restoration capability were verified using measurement data from actual structural testing. The AN...

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Bibliographic Details
Main Authors: Seok-Jae Heo, Zhang Chunwei, Eunjong Yu
Format: Article
Language:English
Published: SpringerOpen 2018-12-01
Series:International Journal of Concrete Structures and Materials
Subjects:
artificial intelligence
deep learning
adaptive neuro-fuzzy inference system
response simulation
data cleansing
noise reduction
Online Access:http://link.springer.com/article/10.1186/s40069-018-0316-x

Internet

http://link.springer.com/article/10.1186/s40069-018-0316-x

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