Abstract:

The purpose of this study is to present the number of graduate-level artificial neural networks theses, and their distrubiton to years, universities, sub-topics and areas of interest. This study includes 656 theses written between the years 1994-2016, registered in Council of Higher Education (YÖK) National Theses Center under artificial neural networks topic. Content analysis method was used.Thesis topic, the method according to the criteria of the contributions were clasiffication. Thesis Center National Council of Higher Education as a means of data collection were used. Research data were evaluated in an Excel spreadsheet. In this study, a post-graduate dissertation in the field of artificial neural networks is collected in a single source to form a sample of content analysis. In this way, it’s tried to provide an overview of previous studies to artificial neural networks scholars for their future studies.

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