Magnetic Flux Leakage Inversion Based on Antlion Algorithm

Author:

Huang Fu-xing1,Han Wen-hua1,Qin Yi1

Affiliation:

1. College of Automation Engineering, Shanghai University of Electric Power,Shanghai,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Reference25 articles.

1. Application of BP neural network optimized by genetic algorithm in density interface inversion[J];zhang;Journal of Jilin University (Earth Science Edition),2017

2. Magnetic Flux Leakage Signal Inversion Based on Improved Efficient Population Utilization Strategy for Particle Swarm Optimization

3. Applying Artificial Neural Networks (ANNs) for prediction of the thermal characteristics of engine oil-based nanofluids containing tungsten oxide -MWCNTs[J];farid;Case Studies in Thermal Engineering,2021

4. 3D InspectionNet: a deep 3D convolutional neural networks based approach for 3D defect detection on concrete columns[P];dizaji;SPIE Smart Structure and Materials & Nondestructive Evaluation and Health Monitoring,2019

5. Three‐dimensional defect inversion from magnetic flux leakage signals using iterative neural network

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