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Response surface methodology

Known as: Response surfaces, Response surface methods, Response surface 
In statistics, response surface methodology (RSM) explores the relationships between several explanatory variables and one or more response variables… 
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Related topics

Related topics

20 relations
Central composite designDegree of a polynomialIOSOList of numerical analysis topics

Broader (5)

Design of experimentsIndustrial engineeringMathematical optimizationOperations research

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2009
Highly Cited
2009
Anisotropy Comparison of Reluctance and PM Synchronous Machines for Position Sensorless Control Using HF Carrier Injection
Position sensorless control of reluctance and permanent magnet synchronous machines at zero and low speed is possible using HF… 
Highly Cited
2009
Highly Cited
2009
Modelling and performance maximization of an integrated automated guided vehicle system using coloured Petri net and response surface methods
Highly Cited
2008
Highly Cited
2008
FUNFITS: data analysis and statistical tools for estimating functions
A module of functions has been created to simplify and extend the fitting of curves and surfaces to data. Some important… 
Highly Cited
2002
Highly Cited
2002
Reliability analysis of automotive body-door subsystem
2002
2002
Response surface methodology revisited
Response surface methodology (RSM) searches for the input combination that optimizes the simulation output. RSM treats the… 
Highly Cited
1999
Highly Cited
1999
Optimization of temperature–glycerol–pH conditions for a fed-batch fermentation process for recombinant hookworm ( Ancylostoma caninum) anticoagulant peptide (AcAP-5) production by Pichia pastoris 1…
Highly Cited
1989
Highly Cited
1989
Production of whole wheat bread with good loaf volume
Cereal Chem. 66(3):224-227 A reconstituted whole wheat bread (containing 16.3% bran plus 12.7% was included in the baking process… 
Review
1977
Review
1977
Multiple response surface methods in computer simulation
This paper reviews the application of multiple re sponse surfaces to multiple-variable optimization problems and describes how… 
Highly Cited
1975
Highly Cited
1975
A Learning Identification Algorithm and Its Application to an Environmental System
An empirical heuristic learning identification algorithm of Ivakhnenko was modified and used to model an environmental system… 
Highly Cited
1968
Highly Cited
1968
STATISTICAL METHODS FOR DESIGN OF EXTREMAL EXPERIMENTS
Abstract : The book presents modern statistical methods for design of experiments aimed at determining optimal conditions for… 
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