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Öğe Classification of leaf type using artificial neural networks(2015) Yasar, Ali; Saritas, Ismail; Sahman, M. Akif; Dundar, A. OktayA number of shape features for automatic plant recognition based on digital image processing have been proposed by Pauwels et al. in 2009. Then Silva et al in 2014 have presented database comprises 40 different plant species. We performed in our study a classification process using dataset and artificial neural networks which have been prepared by Silva and et al. It has been determined that classification accuracy is over 92%.Öğe Cost optimization of feed mixes by genetic algorithms(ELSEVIER SCI LTD, 2009) Sahman, M. Akif; Cunkas, Mehmet; Inal, Seref; Inal, Fatma; Coskun, Behic; Taskiran, UgurThe cost optimization is a key element to determine the least-cost feed mixture according to animals' nutrient requirements and the effective use of the sources. In this paper, the cost optimization of feeds is performed by genetic algorithm, considering the growing style and type, age, nutritional requirement and feedstuff costs for poultry and different types of animals. The proposed method is compared with linear programming approach to measure its performance. The obtained results show that Genetic algorithms could be applicable to the cost optimization of the feed mixtures. In addition, a software program is developed by using Delphi environment. which provides flexible, extensible and user-friendly framework for tuning the heuristic relevant parameters and improving the solution quality. (C) 2009 Elsevier Ltd. All rights reserved.