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A Comparison of Central Composite Design and Taguchi Method for Optimizing Fenton Process
3 references·2 citing·18 second hop
A Comparison of Central Composite Design and Taguchi Method for Optimizing Fenton Process (2014)A Comparison of Central Composite Design …Experimental design in chemistry: A tutorial (2009)Experimental design in chemis…Response surface methodology (RSM) as a tool for optimization in analytical chemistry (2008)Response surface methodology …Taguchi Techniques for Quality Engineering (1989)Taguchi Techniques for Qualit…Hyperparameter Tuning of Machine Learning Algorithms Using Response Surface Methodology: A Case Study of ANN, SVM, and DBN (2022)Hyperparameter Tuning of Mach…A General Guide for the Optimization of Enzyme Assay Conditions Using the Design of Experiments Approach (2019)A General Guide for the Optim…Design of Experiments (1936)Statistics for experimenters. An introduction to design, data analysis, and model building. (1978)Statistics for Experimenters: An Introduction to Design, Data Analysis and Model Building. (1979)The application of design of experiments (DoE) reaction optimisation and solvent selection in the development of new synthetic chemistry (2015)Experimental design and response surface methodology in energy applications: A tutorial review (2017)Methods for experimental design, central composite design and the Box–Behnken design, to optimise operational parameters: A review (2023)A Review of Response Surface Methodology: A Literature Survey (1966)Design and Analysis of Experiments (2005)Experimental Design and Process Optimization (2014)Practical Bayesian Optimization of Machine Learning Algorithms (2012)Design and Analysis of Experiments (2017)Machine Learning With Big Data: Challenges and Approaches (2017)Experimental design and multiple response optimization. Using the desirability function in analytical methods development (2014)Applications of Response Surface Methodology in the Food Industry Processes (2017)Design of experiments (DoE) in pharmaceutical development (2017)The Taguchi methodology as a statistical tool for biotechnological applications: A critical appraisal (2008)An artificial neural network (p,d,q) model for timeseries forecasting (2009)A novel hybrid MCDM model combining the SAW, TOPSIS and GRA methods based on experimental design (2016)
this work references cited by second hop

References

  • 2008Response surface methodology (RSM) as a tool for optimization in analytical chemistry6,062 cited
  • 1989Taguchi Techniques for Quality Engineering2,721 cited
  • 2009Experimental design in chemistry: A tutorial763 cited

Cited by

  • 2022Hyperparameter Tuning of Machine Learning Algorithms Using Response Surface Methodology: A Case Study of ANN, SVM, and DBN103 cited
  • 2019A General Guide for the Optimization of Enzyme Assay Conditions Using the Design of Experiments Approach41 cited

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