Başlık için Makale Koleksiyonu listeleme
Toplam kayıt 129, listelenen: 1-20
-
Accelerating backpropagation using effective parameters at each step and an experimental evaluation
(Taylor & Francis LTD, 2008)An acceleration of backpropagation algorithm with momentum (BPM) is introduced. At every stage of the learning process, local quadratic approximation of the error function is performed and the Hessian matrix of the quadratic ... -
Alpha-skew generalized t distribution [Distribución t generalizada alfa sesgada]
(Universidad Nacional de Colombia, 2015)The alpha-skew normal (ASN) distribution has been proposed recently in the literature by using standard normal distribution and a skewing approach. Although ASN distribution is able to model both skew and bimodal data, it ... -
Analysis of international debt problem using artificial neural networks and statistical methods
(Springer, 2010)It is known from the scientific researches that artificial neural networks are alternatives of statistical methods such as regression analysis and classification in recent years. Since multi-layer backpropagation neural ... -
Analysis of organizational commitment and work-family conflict in view of doctors and nurses
(Routledge Journals, Taylor & Francis LTD, 2012)The present study investigates the relationship between organizational commitment and work-family conflict for medical doctors and nurses. Using canonical analysis on questionnaire, this relation has been tested distinctively ... -
Analysis of some flexible families of distributions for estimation of wind speed distributions
(Elsevier Sci LTD, 2012)The wind speed distribution is the basis for the assessment of wind energy potential needed for the design of wind farms. Therefore, the proper specification of the wind speed distribution is of special importance. In this ... -
Analysis of the upper-truncated Weibull distribution for wind speed
(Pergamon-Elsevier Science LTD, 2015)Accurately modeling wind speed is critical in estimating the wind energy potential of a certain region. In order to model wind speed data smoothly, several statistical distributions have been studied. Truncated distributions ... -
Analysis of wind speed distributions: Wind distribution function derived from minimum cross entropy principles as better alternative to Weibull function
(Pergamon-Elsevier Science LTD, 2008)In this study, the minimum cross entropy (MinxEnt) principle is applied for the first time to the wind energy field. This principle allows the inclusion of previous information of a wind speed distribution and covers the ... -
Analyzing family planning by logistic regression
(2013)The importance of family planning is rising for countries whose population are too young or old and where infant mortality is high. There are several factors on family planning which is having the desired number of children ... -
ANN forecasting models for ISE national-100 index
(Wayne State University, 2010)Prediction of the outputs of real world systems with accuracy and high speed is crucial in financial analysis due to its effects on worldwide economics. Because the inputs of the financial systems are timevarying functions, ... -
An Application of Fuzzy Coding in Multiple Correspondence Analysis for Transforming Data from Continuous to Categorical
(Old City Publishing Inc, 2012)In some research, it can be necessary to know the categorical data groups to which the data measured by interval and ratio scale belong. The fuzzy sets principle can be used to transform the original continuous data into ... -
An application of fuzzy time series to improve ISE forecasting
(2010)The problem of fuzzy time series forecasting plays an important role in many scientific areas such as statistics and neural networks. While forecasting fuzzy time series, most of forecasting applications use the same length ... -
An application of various nonparametric techniques by nonparametric regression splines
(2012)In this paper we made a comparison study between regression spline, penalized spline, and their Bayesian versions: adaptive Bayesian regression spline and Bayesian penalized spline with a different number of observations. ... -
Asymmetric control limits for small samples
(Springer, 2009)When designing control charts, it is usually assumed that the measurement in the subgroups are normally distributed. The assumption of normality implies that the control limits for a chart for sample averages will be ... -
Biplots of fuzzy coded data
(Elsevier Science BV, 2011)A biplot, which is the multivariate generalization of the two-variable scatterplot, can be used to visualize the results of many multivariate techniques, especially those that are based on the singular value decomposition. ... -
Bütünleşik Veri: Kayıtlı Motorlu Kara Taşıtlarına Farklı Bir Bakış
(2018)Bir bütüne ait parçalardan oluşan veriler değişik bilim alanlarında karşımıza çıkmaktadır. Yapısı gereği çok değişkenli olan bu veriler ilgi çekici özelliklere sahiptir. Bu tür veriler sabit bir toplamla sınırlandırılmasından ... -
Combining some biased estimation methods with least trimmed squares regression and its application [Combinación de algunos métodos de estimación sesgados con regression de mínimos cuadrados recortados y su aplicación]
(Universidad Nacional de Colombia, 2015)In the case of multicollinearity and outliers in regression analysis, the researchers are encouraged to deal with two problems simultaneously. Biased methods based on robust estimators are useful for estimating the regression ... -
A comparative study for the location and scale parameters of the Weibull distribution with given shape parameter
(Pergamon-Elsevier Science LTD, 2008)Nine parametric estimators of the location and scale parameters of a two-parameter Weibull distribution are compared in terms of their bias and efficiency in a simulation study. The estimators considered are the maximum ... -
A comparative study of hybrid, neural networks and nonparametric regression models in time series prediction
(2009)This paper presents a comparative study of the hybrid models, neural networks and nonparametric regression models in time series forecasting. The components of these hybrid models are consisting of the nonparametric ... -
Comparison of ARIMA, neural networks and hybrid models in time series: tourist arrival forecasting
(Taylor & Francis LTD, 2007)For time series forecasting, different artificial neural network (ANN) and hybrid models are recommended as alternatives to commonly used autoregressive integrated moving average (ARIMA) models. Recently, combined models ... -
Comparison of artificial neural networks and ridge regression for two different economic problems
(2005)The least squares estimators of the regression coefficients are the best linear unbiased estimators. That is, of all possible estimators that are both linear functions of the data and unbiased for the parameters being ...
