A neural network approach to response surface methodology

DOI10.1080/03610920008832604zbMath1023.62101OpenAlexW1977061407MaRDI QIDQ4550650

Sandy D. Balkin, Dennis K. J. Lin

Publication date: 10 November 2003

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920008832604

zbMATH Keywords

optimizationfunction approximation

Mathematics Subject Classification ID

Response surface designs (62K20) Neural nets and related approaches to inference from stochastic processes (62M45)

Related Items

Estimating critical values for testing the i.i.d. in standardized residuals from GARCH models in finite samples

Uses Software

• R
• S-PLUS

Cites Work

• Neural networks: A review from a statistical perspective. With comments and a rejoinder by the authors
• Multilayer feedforward networks are universal approximators
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