The multiple response methods was applied to obtain the optimum condition for the five parameters used including contact time, pH, adsorbent dose, initial As III) concentration and temperature.
As demonstrated in the comparison of methods (Monte Carlo (MC) method, traditional response surface method (RS M, multiple response surface method (MRS M and AMRSM), the proposed AMRSM improves computational efficiency with acceptable computational accuracy.
To overcome this issue, an improved multiple response surfaces method is proposed.
To reasonably implement the reliability analysis and describe the significance of influencing parameters for the multi-failure modes of turbine blisk, advanced multiple response surface method (AMRSM) was proposed for multi-failure mode sensitivity analysis for reliability.
To make multi-objective reliability-based design optimization (MORBDO) more effective for complex structure with multi-failure modes and multi-physics coupling, multiple response surface method (MRS M -basedartificial neural network (ANN) (ANN-MRSM) and dynamic multi-objective particle swarm optimization (DMOPSO) algorithm are proposed based on MRSM and MOPSO algorithm.
In this paper, we present an extended version, PFIM 3.0, dedicated to both design evaluation and optimisation for multiple response models, using a similar method as for single response models.
The method that we used in our item analysis, the multiple-response (MR) method, whereby no partial credit is given for "partially correct" answers, has been found to lead to the lowest scores (Albanese and Sabers, 1988; Tsai and Suen, 1993).
An important step in the design of the H∞ control is loop-shaping, which is similar to the traditional Bode's response method, but can be applied to Multiple-Input Multiple-Output systems.
Multiple response simultaneous optimisation was used to develop a micellar electrokinetic chromatography method for caffeine determination in decaffeinated coffees.
This study proposes a method for optimally balancing various affective satisfaction dimensions based on the multiple response surfaces (MRS) methodology.
