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For the purpose of design of experiment, response surface methodology (RS M has been used.
The relationship between the laser processing parameters and resulting diameter increase was confirmed via Design of Experiment response surface methodology.
The efficiency of the language was studied in conjunction with design of experiment, response surface analysis, and gradient-based optimization.
In this study, a multiobjective optimization design system, including a 3D inverse design, computational fluid dynamics, design of experiment, response surface methodology, and multiobjective genetic algorithm, is introduced and applied to the design of a middle-high-head pump turbine runner.
To reduce such initial biases in the present experiment, response recording commenced only four seconds after the start of the audiotactile stimulus stream.
In this experiment response families were recorded under backgrounds producing 20, 64, 200, 640, 2000 and 6400 Rh* s−1 per rod.
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Furthermore, the factorial models for experiment responses were developed.
One was "Did your understanding of DNA, evolution and biodiversity change after the experiment?" Responses could be selected from five options (changed significantly, changed slightly, unaware of any change, changed minimally, did not change).
To account for inter-experiment response variability, in each binary mixture toxicity assay the toxicity of the individual mixture constituents was also assessed.
In this work, to model and design the experiments, response surface methodology (RSM) was used.
This paper proceeds as follows: we first introduce design of experiments, response surface modeling, and sampling.
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