Sentence examples for several response surface from inspiring English sources

The actual response is modelled by a piecewise idealization which combines several response surface interpolations.

This paper discusses several response surface methods to replace the main part of the needed computations: the Kriging predictor, standard and with input improvement; the feed forward neural network; the cascade correlation neural network; and a mixed version.

Analyses of several response surface plots obtained by employing statistical designs in lipase catalysed esterification reactions have indicated that such plots could be grouped into four types to explain esterification behaviour in the presence of different kinds of substrates and reaction conditions.

Graphical methods for evaluating design performance for several important response surface problems are discussed and we show how these techniques can be used to compare competing designs.

In order to obtain a clear view of the influences of these independent variables on the dependent variable, several three-dimensional views of response surface were plotted.

A validated numerical model is applied to calculate the tension force of mooring system for both the single-cage system and the multi-cage system at several sea states, and the response surface method is utilized to display the limit state function to calculate the reliability level in terms of the uncertain metocean variables.

Also, cyanide degradation has been optimized by several methods such as Plackett Burman design and response surface methodology (RS M.

Several statistical approaches involving Plackett Burman designs and response surface methodology (RSM) have created a potential for optimization of enzyme production (Reddy et al. 2008).

Response surface methodology pointed out several significant interaction effects, and with Monte-Carlo simulations led to map out the design space at a selected probability level.

Operating conditions were improved with central composite rotatable design (CCRD) and response surface methodology (RS M, involving several chemical and instrumental parameters.

Several qualitative and quantitative properties of good response surface designs are discussed, and some of their important trade-offs are considered.