نتایج جستجو برای: values of input
تعداد نتایج: 21182123 فیلتر نتایج به سال:
thermal conductivity is an important property of juices in the prediction of heat- and mass-transfer coefficients and in the design of heat- and mass-transfer equipment for the fruit juice industry. an artificial neural network (ann) was developed to predict thermal conductivity of pear juice. temperature and concentration were input variables. thermal conductivity of juices was outputs. the op...
چکیده: این مطالعه به بررسی تاثیر فعالیت های درون داد و برون داد گروهی بر روی دستور زبان انگلیسی زبان آموزان ایرانی وهمچنین به بررسی تاثیر این 2 نوع فعالیت ها بر روی تمایل به برقراری ارتباط زبان آموزان می پردازد. بر این اساس، در این مطالعه فعالیت های درون داد و برون داد گروهی در مورد 5 نوع ساختار دستوری ( (used to, too, enough, wish, and past tense طراحی و تنظیم شده است. به منظور دستیابی به این...
Given a sequence of n elements, the All Nearest Smaller Values (ANSV) problem is to nd, for each element in the sequence, the nearest element to the left (right) that is smaller, or to report that no such element exists. Time and work optimal algorithms for this problem are known on all the PRAM models 3], 5], but the running time of the best previous hypercube algorithm 6] is optimal only when...
BACKGROUND The RD(50) (exposure concentration producing a 50% respiratory rate decrease) test evaluates airborne chemicals for sensory irritation and has become an American Society for Testing and Materials (ASTM) standard method. Past studies reported good correlations (R(2)) between RD(50)s and the occupational exposure limits, particularly threshold limit values (TLVs). OBJECTIVE The main ...
Given a sequence of n elements, the All Nearest Smaller Values (ANSV) problem is to nd, for each element in the sequence, the nearest element to the left (right) that is smaller, or to report that no such element exists. Time and work optimal algorithms for this problem are known on all the PRAM models 4, 6], but the running time of the best previous hypercube algorithm 9] is optimal only when ...
Yarn tenacity is one of the most important properties in yarn production. This paper addresses modeling of yarn tenacity as well as optimally determining the amounts of the effective inputs to produce yarn with desired tenacity. The artificial neural network is used as a suitable structure for tenacity modeling of cotton yarn with 30 Ne. As the first step for modeling, the empirical data is col...
The paper examined the value system in Philippine firms against the backdrop of Eastern-Western cultural dynamics in East Asia. The Asian milieu presents co-existence of cultural stasis and unease -balance and tension between Eastern values and Western ideas. Successful Asian countries demonstrated their ability to blend conflicting cultures and highlight certain values in order to promote nati...
Background: Forecasting of air pollutants has become a popular topic of environmental research today. For this purpose, the artificial neural network (AAN) technique is widely used as a reliable method for forecasting air pollutants in urban areas. On the other hand, the evolutionary polynomial regression (EPR) model has recently been used as a forecasting tool in some environmental issues. In ...
the basic models of data envelopment analysis (dea) are designed in such a way that the values of input and output indicators should be identified and known in them. in other words, these models are not used to consider inaccurate, interval, fuzzy, judgment data. in this paper, the aim is to not only review the past researches about the efficiency of the units by interval data and represent the...
This work reports the results of four ensemble approaches with the M5 model tree as the base regression model to anticipate Sodium Adsorption Ratio (SAR). Ensemble methods that combine the output of multiple regression models have been found to be more accurate than any of the individual models making up the ensemble. In this study additive boosting, bagging, rotation forest and random subspace...
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