This study proposes an appropriate optimization model for determining a new composite material's mechanical properties by neuro-regression analysis. This new composite material is obtained by combining hemp and polypropylene fibers. It was developed for the sector of upholstered furniture. First, different multiple regression models have been tried for input and output values. The R2 training, R2 testing, R2 validation, and minimum, maximum values were determined for each model. Then, the stochastic optimization approach is used to predict and optimize the mechanical properties of the new bioc ...Daha fazlası
Gök Türk çalışmalarında az değinilen konulardan biri, Türk kültürünü besleyen
kaynakların alt yapısıdır. Bozkır sınırlarının tarım uygarlıkları ile kesiştiği yerler, iki
tarafın da kültüründe bazı sentezlenmelere yol açmaktadır ki, bu konu sadece
arkeolojik verilerden değil, savaş malzemeleri ve taktikleri, bürokrasi dili, kılıkkıyafet
vs. konulardan da takip edilebilir.
Makale iki ana coğrafya üzerine yoğunlaşmıştır: İlki, Türklerin orijinal malzemelerini
meydana getirdiği güney Sibirya ve Moğolistan bölgesi. Bu coğrafyanın yaşam şekli
ve inançları, göçerlerin üretmiş oldukları sanat e ...Daha fazlası
Global crises are increasing day by day due to the rapid depletion of energy supplies around the planet. One of the goals of engineering is to prevent this situation by developing innovative solutions to this rapid energy consumption that has disappeared in the world. A solution could be to reduce the energy consumption of the machines that are used during production. In this study, a new design technique based on the neuro-regression approach and non-linear regression modeling was offered as an alternative to Taguchi design to reduce energy consumption. Thus, a cutting parameter optimization ...Daha fazlası
This study investigates the optimum weld area on a popular aerospace alloy (i.e., Inconel 825) made by the electron beam welding technique. Welding speed (S), beam current (I), accelerating voltage (V), and beam oscillation (O) are considered as process parameters to study the weld bead area (WA) of the weldments. An instructive study on multiple non-linear neural regression analyses has been done as a basic introduction to neuro regression modeling with artificial neural network (ANN) philosophy. To do this, the experimental prediction has been modeled with 14 predictive functional structures ...Daha fazlası
Abstract This study is prepared to examine the effects of Turkish character usage on text data by using multiple classifiers. Regression Classifiers, SVM, NB-Classifiers, and ANN are frequently used in supervised learning methods, especially in classification problems. Regression classifiers generally come in two types: as Linear and Logistic. There are also more than one type of Naive Bayes classifier. In our study, after mentioning the properties of Linear Regression and Logistic Regression classifiers in general terms, why Logistic Regression is much more suitable for this study is explaine ...Daha fazlası
Osmanlı Devleti 17. yüzyıla büyük seferler, karışıklar ve çalkantılarla girmiş,
bir kısım dâhili ve harici olaylara I. Ahmed’in vefatından sonra tahtta yaşanan
gelişmeler de eklenmişti. 1622 yılında II. Osman’ın katli gibi o zamana kadar
benzeri görülmemiş bir olayın ardından amcası I. Mustafa’nın yerine tahta çıkan IV.
Murad’ın ilk hükümdarlık yılları da benzer karışıklarla geçmiştir. Küçük yaşta tahta
çıkan IV. Murad, isyanlarla boğuşan İstanbul’daki bir takım devlet ileri gelenlerinin
hal‘inden ve annesinin vesayetinden kurtulduktan sonra 1632 yılında idareyi bizzat
eline almıştır1. ...Daha fazlası
Wire electrical discharge machining (WEDM) of γ titanium aluminide is the subject of the current research. Due to the large number of process variables and sophisticated stochastic process mechanisms, selecting the best machining parameter combinations for increased cutting efficiency and accuracy is a difficult task in WEDM. In general, there is no perfect combination that can produce the fastest cutting speed and the finest surface finish quality at the same time. For this purpose, the data were selected from a literature study. This study describes an attempt to devise a suitable machining ...Daha fazlası
Abstract In this study, machine learning-based models have been used to estimate the return loss parameters of the operational resonant frequency of the U-slotted UHF RFID antenna. The data set utilized, consisting of 544 instances, has been collected from the simulation software as a consequence of the parametric evaluation of the antenna design parameters. Distinct machine learning methods have been used on two different types of output data, complex and linear scattering parameters, and the models' prediction performance has been evaluated. In the single-output regression models, a mean-squ ...Daha fazlası
6698 sayılı Kişisel Verilerin Korunması Kanunu kapsamında yükümlülüklerimiz ve çerez politikamız hakkında bilgi sahibi olmak için alttaki bağlantıyı kullanabilirsiniz.