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An empirical study of fuzzy approach with artificial neural network models
(2012)
Time series forecasting based on fuzzy approach by using artificial neural networks is a significant topic in many scientific areas nowadays. Artificial neural network models are sufficient due to their abilities to solve ...
A comparison study of forecasting financial fuzzy time series by artificial neural networks
(Vilnius Gediminas Technical University, 2010)
Forecasting financial time series is an important area for various investors and business practices. Fuzzy time series models which have been successfully applied to handle nonlinear problems have become popular in recent ...
Forecasting neural network-based fuzzy time series with different neural network models
(2011)
Fuzzy approach and artificial neural networks become effective tool for researchers by forecasting fuzzy time series. The relation of these has advantage to improve forecasting performance especially in handling nonlinear ...
Optimization of interval length for neural network based fuzzy time series
(2012)
Fuzzy time series models have become important in past decades with neural networks. Hence, this study aims to improve forecasting performance of neural network based fuzzy time series by using an optimization function to ...
A comparison study of performance measures and length of intervals in fuzzy time series by neural networks
(2009)
Deciding length of intervals and choosing performance measures have important issues to forecast fuzzy time series. Many forecasting studies accept MSE(Mean squared error) for performance measure and use only one kind of ...
K-Medoids and Fuzzy C-Means Algorithms for Clustering Co2 Emissions of Turkey and Other Oecd Countries
(Corvinus University Budapest, 2018)
One of the most fundamental problems of societies is environmental problems that have emerged as the result of human behaviors which can be summarized as "dominating nature" and "using nature carelessly". The main causes ...
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, ...
A Logistic Regression Analysis of Factors Affecting Enrollment Decisions of Prospective Students of Distance Education Programs in Anadolu University
(Anadolu University, 2019)
Some prospective students placed by the Assessment, Selection and Placement Center (OSYM) to associate and undergraduate programs in the Faculty of Open Education of Anadolu University enroll in these programs, while others ...
When technology-based learning ıs the only option: Evaluating perceived usefulness of social media
(Anadolu Üniversitesi, 2022)
During unusual times involving discontinued face to face sessions in formal education settings, mobile
learning (m-learning) involving social networking sites has become a popular alternative since students are
always ...
Impact of critical thinking instruction through flipped teaching on Iranian EFL learners’ listening comprehension
(Anadolu Üniversitesi, 2022)
The present study investigated the effects of critical thinking instructions through a flipped teaching method
on English Language learners’ listening comprehension. The sample consisted of 80 Iranian intermediate
English ...