A static load position identification method for optical fiber-composite structures based on particle swarm optimization- back Propagation neural network algorithm

Aiming at researching on health monitoring of composite materials, a static load position identification method for optical-fiber composite structures based on the Particle Swarm Optimization-Back Propagation (PSO-BP) neural network algorithm is proposed. Based on the 2 × 2 optical fibers-composite...

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Bibliographic Details
Published in:	Measurement and control (London) Vol. 56; no. 3-4; pp. 820 - 831
Main Authors:	Shen, LB, Tian, LP
Format:	Journal Article
Language:	English
Published:	London, England SAGE Publications 01.03.2023 Sage Publications Ltd SAGE Publishing
Subjects:	Algorithms Back propagation Back propagation networks Composite materials Composite structures Fiber composites Hierarchies Identification methods Neural networks Optical fibers Particle swarm optimization Prediction models Radial basis function Static loads Support vector machines Thresholds position prediction optical fiber-composite structures PSO-BP Static load
ISSN:	0020-2940, 2051-8730
Online Access:	Get full text
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