Parameters optimization and nonlinearity analysis of grating eddy current displacement sensor using neural network and genetic algorithm
DOI10.1631/JZUS.A0820564zbMath1180.78037MaRDI QIDQ1049819
Hai-Bo Zhang, Hong-Li Qi, Hui Zhao, Wei-Wen Liu
Publication date: 13 January 2010
Published in: Journal of Zhejiang University. Science A (Search for Journal in Brave)
nonlinearity errorgenetic algorithm (GA)parameters optimizationartificial neural network (ANN)grating eddy current displacement sensor (GECDS)
Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59) Technical applications of optics and electromagnetic theory (78A55) Optimization problems in optics and electromagnetic theory (78M50) Neural and heuristic methods applied to problems in optics and electromagnetic theory (78M32)
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