Browsing by Author "Altun H."
Now showing items 1-8 of 8
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Determining efficiency of speech feature groups in emotion detection [Ses özni·teli·k gruplarinin duygu tespi·ti·nde etki·nli·kleri·ni·n beli·rlenmesi·]
Features, extract from speech parameter are frequently used in emotion detection problem. Prosodic, MFCC, LPC and band energy feature groups are commonly used in literature to detect emotion in speech. The aim of the study ... -
Economic dispatch solution using a genetic algorithm based on arithmetic crossover
Yalcinoz T.; Altun H.; Uzam M. (2001)In this paper, a new genetic approach based on arithmetic crossover for solving the economic dispatch problem is proposed. Elitism, arithmetic crossover and mutation are used in the genetic algorithm to generate successive ... -
Evalutation of performance of KNN, MLP and RBF classifiers in emotion detection problem [Duygu tespi·t problemi·nde KNN, MLP ve RBF siniflandiricilarin başarimlarinin degerlendi·ri·lmesi·]
Emotion Detection has gained increasing attention and become an active research area. The problem is solved with improved feature set with different number of feature groups, by employing different classifiers in order to ... -
Hardware emulation of HOG and AMDF based scale and rotation invariant robust shape detection
Peker M.; Altun H.; Karakaya F. (2012)In this study, a hardware emulation of HOG and AMDF based scale and rotation invariant robust shape detection for Field Programmable Gate Arrays (FPGA) is described. For this purpose, a robust algorithm with light-computational ... -
A new genetic algorithm with arithmetic crossover to economic and environmental economic dispatch
Yalcinoz T.; Altun H. (2005)This paper presents a new genetic approach based on arithmetic crossover for solving the economic dispatch and environmentally constrained economic dispatch problems. Elitism, arithmetic crossover and mutation are used in ... -
On the comparison of classifiers' performance in emotion classification: Critiques and suggestions [Duygu siniflandirma problemlerinde siniflandirici performanslarinin karşilaştirilmasi: Eleştiri ve öneriler]
In literature there is a huge body of references available which compare various classifiers in a particular application. However, the reliability of such a comparison is only valid if the model parameters, performance ... -
Power economic dispatch using a hybrid genetic algorithm
Yalcinoz T.; Altun H. (2001)This letter outlines a hybrid genetic algorithm (HGA) for solving the economic dispatch problem. The algorithm incorporates the solution produced by an improved Hopfield neural network (NN) [1] as a part of its initial ... -
Sawability prediction of carbonate rocks from shear strength parameters using artificial neural networks
Kahraman S.; Altun H.; Tezekici B.S.; Fener M. (2006)[No abstract available]
