The objective of this study is to compare the predictive ability Bayesian regularization with Levenberg–Marquardt Artificial Neural Networks. To examine best architecture neural networks, model was tested one-, two-, three-, four-, and five-neuron architectures, respectively. MATLAB (2011a) used for analyzing learning algorithms. It concluded that training algorithm shows better performance than algorithm. advantage a artificial network its reveal potentially complex relationships, meaning...

This paper explains the construction of a novel augmented hunger games search algorithm using logarithmic spiral opposition-based learning technique. The proposed (LsOBL-HGS) is used as an efficient tool for both function optimization and controller design. To assess performance optimization, benchmark functions from CEC2017 test suite were employed comparisons made with available good performing algorithms. In terms design, LsOBL-HGS was utilized to design FOPID controlled magnetic ball...

In this study, the estimation performances of Multiple Linear Regression, Random Forest, and Artificial Neural Network are examined comparatively. For comparison these data mining techniques, power production from a Photovoltaic Module was used in research. model constituted seven variables. One variables is dependent (power) others independent (global radiation, temperature, wind speed, direction, relative humidity, solar elevation angle). paper, Mean Absolute Error correlation coefficient...

Abstract This study focuses on construction of novel enhanced metaheuristic algorithm using a modified opposition‐based learning technique and the hunger games search algorithm. The proposed (mOBL‐HGS) is aimed to be used as an efficient tool tune fractional order proportional‐integral‐derivative (FOPID) controller in control magnetic ball suspension system with greater flexibility. challenging benchmark functions from CEC2017 test suite are confirm performance mOBL‐HGS also utilized reach...

This paper aims to compare the gradient descent-based algorithms under classical training model and swarm-based metaheuristic in feed forward backpropagation artificial neural network training. Batch weight bias rule, Bayesian regularization, cyclical rule Levenberg-Marquardt are used as algorithms. In terms of algorithms, hunger games search, gray wolf optimizer, Archimedes optimization, Aquila optimizer adopted. The Iris data set is this for Mean square error, mean absolute error...

Abstract The literature posits that narcissism may theoretically influence online shopping addiction, with materialism being regarded as a consequence of narcissistic tendencies subsequently exacerbate addiction. Additionally, it is stated in the age and gender are also associated So, present study aims to examine effect narcissism, age, on addiction using exhaustive CHAID analysis. In research, which was designed survey correlational study, data were collected from 1010 adults scale scale....

The purpose of this study was to explore relations and mediating factors among dissociation, depression, state-trait anxiety for individuals who experienced physical abuse, sexual both or no abuse. In all, 549 Turkish undergraduate university students participated in the completed Dissociative Experiences Scale, Beck Depression Inventory, State-Trait Anxiety a demographic measure. Both abuse were associated with elevated levels dissociative symptoms pathological dissociation. Results...

The main aim of the research was to examine educational use Facebook.The Computer Networks and Communication lesson taken as sample attitudes students included in study group towards Facebook were measured a semi-experimental setup.The on platform examined for about three months they continued their education interactively that virtual environment.After the-three-month-education period, observations reported by different measurement tools.As result, views heterogeneous.When average values...

Temelde bireyin internet başında uzun süre kalmasını ifade eden bağımlılığının tespitine yönelik, ulusal alanyazında yeterli sayıda ölçeğin bulunmaması bu alanda ölçme aracı geliştirme ya da uyarlama ihtiyacını doğurmuştur. Bu çalışmada, Nichols ve Nicki'nin (2004) geliştirmiş oldukları "Internet Bağımlılık Ölçeği'nin (Internet Addiction Scale) Türkçeye uyarlanıp, yapı geçerliğini iç tutarlılık güvenirlik katsayısını belirlemeye yönelik bir araştırma yapılmıştır. Nicki özgün formuna ilişkin...

The aim of this study is to determine the factors affecting PISA 2015 Mathematics literacy by using data mining methods such as Multi-layer Perceptron Artificial Neural Networks and Random Forest. Cause effect relation within context was tried be discovered means at level deep learning. In terms Prediction Ability, findings method whose performance high were accepted determining qualifications in Turkey. study, information, which collected from a total 4422 students, 215 (49%) whom boys 2257...

Manta ray foraging optimization (MRFO) algorithm is a bio-inspired meta-heuristic algorithm. It has been proposed as an alternative approach for real-world engineering problems. However, MRFO not good at fine-tuning of solutions around optima and suffers from slow convergence speed because its stochastic nature. needs to be improved due latter issues. Therefore, in this study, opposition-based learning (OBL) technique was used together with order obtain effective structure The named...

This paper introduces the artificial hummingbird algorithm (AHA) as a novel and efficient for designing digital infinite impulse response (IIR) filtering systems. IIR filters are commonly used in various applications, their design often involves complex error surfaces coefficients. The AHA aims to address these challenges by optimizing model using mean squared (MSE) cost function. Four benchmark examples considered evaluation comparing both same reduced order cases of model. results compared...

The objective of this study is twofold: (1) to investigate the factors that affect success university students by employing two artificial neural network methods (i.e., multilayer perceptron [MLP] and radial basis function [RBF]); (2) compare effects these on educational data in terms predictive ability. participants' transcript scores were used as target variables employed test predictors affected variables. results show outperformed Although findings suggest research quantitative science...

Chaid analizi, örneklemi sınıflama yöntemiyle (cluster analysis) regresyon analizinin bir arada uygulandığı karma istatistiksel yaklaşımdır. Bu çalışmada chaid analizi kullanılarak üniversite öğrencilerinin stresli durumlarda kullandıkları baş etme stratejileri, demografik özellikleri ve psikolojik belirtilerin düzeyi arasındaki ilişkiler değerlendirilmiştir. amaçla Yüzüncü Yıl Üniversitesi’nde lisans eğitimi almakta olan 329 öğrenciye Baş Etme Tutumlarını Değerlendirme Ölçeği (COPE), Kısa...

The aim of this study was to develop a valid and reliable scale for preschool teachers’ selfefficacy beliefs as they were related activities in the 2013 education program. participants consisted 425 teachers selected by random sampling. researchers created an instrument consisting 59 items, all answered using 5-point Likert-type scale. Expert opinions obtained content validity scale, exploratory factor analysis conducted determine its construct validity. Exploratory revealed that had 10...