نتایج جستجو برای: multi factor models
تعداد نتایج: 2089299 فیلتر نتایج به سال:
attempts have been made to study the thermodynamic behavior of 1,3 butadiene purification columns with the aim of retrofitting those columns to more energy efficient separation schemes. 1,3 butadiene is purified in two columns in series through being separated from methyl acetylene and 1,2 butadiene in the first and second column respectively. comparisons have been made among different therm...
the engineers can frequently encounter with the situation to select the optimum option among the alternatives related with tunneling operations. the optimum choice can be selected by the experienced engineers taking into consideration their judgment and intuition. however, decision-making methods can offer to the engineers to support their optimum selection for a particular application in a sci...
Despite the empirical evidence of the difference in the degree of price stickiness of goods and services, in the new standard Keynesian models, the same price stickiness is considered for all firms producing intermediate goods. In recent years, a new generation of pricing models has been introduced to simulate the heterogeneous price setting behavior in which, unlike standard pricing models, th...
Estimation of parameters of a hydrologic model is undertaken using a procedure called “calibration” in order to obtain predictions as close as possible to observed values. This study aimed to use the particle swarm optimization (PSO) algorithm for automatic calibration of the HEC-HMS hydrologic model, which includes a library of different event-based models for simulating the rainfall-runoff pr...
Predicting emotion categories, such as anger, joy, and anxiety, expressed by a sentence is challenging due to its inherent multi-label classification difficulty and data sparseness. In this paper, we address above two challenges by incorporating the label dependence among the emotion labels and the context dependence among the contextual instances into a factor graph model. Specifically, we rec...
A multi-objective optimization (MOO) of two-element wing models with morphing flap by using computational fluid dynamics (CFD) techniques, artificial neural networks (ANN), and non-dominated sorting genetic algorithms (NSGA II), is performed in this paper. At first, the domain is solved numerically in various two-element wing models with morphing flap using CFD techniques and lift (L) and drag ...
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