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Author: Yazici, AScopus Q: Q1

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    Article
    Citation - WoS: 44
    Citation - Scopus: 49
    A Neural Network-Based Approach for Calculating Dissolved Oxygen Profiles in Reservoirs
    (Springer London Ltd, 2003) Soyupak, S; Karaer, F; Gürbüz, H; Kivrak, E; Sentürk, E; Yazici, A
    A Neural Network (NN) modelling approach has been shown to be successful in calculating pseudo steady state time and space dependent Dissolved Oxygen (DO) concentrations in three separate reservoirs with different characteristics using limited number of input variables. The Levenberg-Marquardt algorithm was adopted during training. Pre-processing before training and post processing after simulation steps were the treatments applied to raw data and predictions respectively. Generalisation was improved and over-fitting problems were eliminated: Early stopping method was applied for improving generalisation. The correlation coefficients between neural network estimates and field measurements were as high as 0.98 for two of the reservoirs with experiments that involve double layer neural network structure with 30 neurons within each hidden layer. A simple one layer neural network structure with 11 neurons has yielded comparable and satisfactorily high correlation coefficients for complete data set, and training, validation and test sets of the third reservoir.
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    Article
    Citation - WoS: 168
    Citation - Scopus: 244
    E-Govemment: a Global View and an Empirical Evaluation of Some Attributes of Citizens
    (Elsevier inc, 2005) Akman, I; Yazici, A; Mishra, A; Arifoglu, A
    This paper reviews and discusses e-government (e-gov) issues in general, its global perspective, and then reports the findings of a survey concerning impact of gender and education amongst the e-gov users in Turkey. Although the impact of gender and education in the use of e-gov has long been attracting interests of academics, no quantitative research has ever been realized in this field in the country. The survey was conducted among e-gov users with different gender and level of education from different sectors such as ordinary citizens, government, and private sectors. According to the comparative analysis the use of e-gov content and services is pervasive and is closely linked to gender and level of education. (c) 2005 Elsevier Inc. All rights reserved.