Browsing by Author "Guresen, Erkam"

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    Definition of artificial neural networks with comparison to other networks
    (Elsevier Science Bv, 2011) Guresen, Erkam; Kayakutlu, Gulgun
    Definition of Artificial Neural Networks (ANNs) is made by computer scientists, artificial intelligence experts and mathematicians in various dimensions. Many of the definitions explain ANN by referring to graphics instead of giving well explained mathematical definitions; therefore, misleading weighted graphs (as in minimum cost flow problem networks) fit the definition of ANN. This study aims to give a clear definition that will differentiate ANN and graphical networks by referring to biological neural networks. The proposed definition of ANN is a mathematical definition, from the point of graph theory which defines ANN as a directed graph. Then differences between ANNs and other networks will be explained by examples using proposed definition. (C) 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Guest Editor.
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    Interior design of passenger coaches using fuzzy optimization
    (Elsevier Science Bv, 2011) Onden, Ismail; Guresen, Erkam
    Passenger coaches are one of the most important mass transportation vehicles for inner city passenger transportation and the proper interior design problem of the passenger coaches affect both passenger satisfaction and service quality. Defining user expectation and meeting them is important to solve this problem, which naturally contains ambiguity and vagueness. The study aims to maximize the total passenger number together with providing user satisfaction while designing interior area of passenger coaches. User expectations are defined by a survey and new design is defined with respect to anthropometric measures of human body. The collected data used to establish a fuzzy mathematic model to capture the ambiguity and vagueness of the problem and the mathematical model is solved using fuzzy optimization with respect to the constraints. (C) 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Guest Editor.