Optimal design method to automobile problems using holographic neural network's approximation

DOI10.1007/BF03167370zbMath1306.65162OpenAlexW2070872517MaRDI QIDQ2258392

Qinzhong Shi, Ichiro Hagiwara

Publication date: 3 March 2015

Published in: Japan Journal of Industrial and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf03167370

zbMATH Keywords

structural analysisfunction approximationnonlinear problemresponse surface methodologyvehicle crashworthinessholographic neural networkvehicle interior noise

Mathematics Subject Classification ID

Deterministic network models in operations research (90B10) Algorithms for approximation of functions (65D15)

Cites Work

• Multilayer feedforward networks are universal approximators
• Multi-Factor Experimental Designs for Exploring Response Surfaces

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