نتایج جستجو برای: desirability function

تعداد نتایج: 1216555  

پایان نامه :0 1391

uncertainty in the financial market will be driven by underlying brownian motions, while the assets are assumed to be general stochastic processes adapted to the filtration of the brownian motions. the goal of this study is to calculate the accumulated wealth in order to optimize the expected terminal value using a suitable utility function. this thesis introduced the lim-wong’s benchmark fun...

Journal: :Quality and Reliability Eng. Int. 2011
Wen Wan Jeffrey B. Birch

The multi-response optimization (MRO) problem in response surface methodology is quite common in applications. Most of the MRO techniques such as the desirability function method by Derringer and Suich are utilized to find one or several optimal solutions. However, in fact, practitioners usually prefer to identify all of the near-optimal solutions, or all feasible regions, because some feasible...

2012
H. Assemi M. Rezapanah R. Vafaei-Shoushtari A. Mehrvar

With the aim to improve the mass rearing feasibility of tobacco budworm, Helicoverpa armigera Hübner (Lepidoptera: Noctuidae), design of experimental methodology using Taguchi orthogonal array was applied. To do so, the effect of 16 ingredients of an artificial diet including bean, wheat germ powder, Nipagin, ascorbic acid, formaldehyde, oil, agar, distilled water, ascorbate, yeast, chloramphen...

2017
Mohammad Reza Saeb Babak Rezaee Alireza Shadman Krzysztof Formela Zahed Ahmadi Farkhondeh Hemmati Tayebeh Sadat Kermaniyan Yousef Mohammadi

Experimental and mathematical modeling analyses were used for controlling melt free-radical grafting of vinylic monomers on polyolefins and, thereby, reducing the disturbance of undesired cross-linking of polyolefins. Response surface, desirability function, and artificial intelligence methodologies were blended to modeling/optimization of grafting reaction in terms of vinylic monomer content, ...

Journal: :Expert Syst. Appl. 2008
Hsu-Hwa Chang

To simultaneously optimize the parameter robust design of dynamic multiple responses is difficult due to product complexity; however, the design is what determines most of the production time, cost, and quality. Although several methods tackling this problem have been published, they have proven unable to effectively resolve the situation if a system has continuous control factors. This work pr...

Journal: :Molecules 2010
Liangliang Zhang Jiahong Chen Yongmei Wang Dongmei Wu Man Xu

Phenolic compounds are present at very high concentrations in the bark of Acacia mangium. These compounds are known to have strong antioxidant activity and thus different beneficial effects on human health. Phenolic compounds in bark of A. mangium were extracted and their antioxidant activities were investigated using the 1,1-diphenyl-2-picrylhydrazyl (DPPH) free radical-scavenging and ferric-r...

Journal: :Appetite 2013
K Allan J L Allan

To help maintain a positive energy balance in ancestral human habitats, evolution appears to have designed a functional bias in spatial memory that enhances our ability to remember the location of high-calorie foodstuffs. Here, we investigated whether this functional bias has obesogenic consequences for individuals living in a modern urban environment. Spatial memory, dietary intentions, and pe...

2009
Mahdi Bashiri Seyed Javad Hosseininezhad

Optimization of multi response surface (MRS) in robust designs is applied to determine optimum characteristics of a process in a satisfactory region and reduce variation of responses. In this paper, a methodology is proposed for optimizing multi response surface in robust designs, which optimizes mean and variance simultaneously by applying fuzzy set theory. At first, a method is proposed to co...

2013
Seyed Jafar Golestaneh Napsiah Ismail Mohd Khairol Anuar M. Ariffin Hassan Moslemi

Three phases are considered for multiple response optimization (MRO) problems. They are design of experiments, modeling and optimization. Committee machines (CM) as a set of some experts such as some artificial neural networks (ANNs) can be applied for modeling phase. Then, genetic algorithm (GA) determines the final solution with object maximizing the global desirability as optimization phase....

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