İskenderun Körfezi’nde yaşayan orfoz balığı (Ephinephelus marginatus Lowe 1834)’ ndaki parazitlenmenin öz örgütlenmeli haritalarla yeniden değerlendrilmesi
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Date
2008
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info:eu-repo/semantics/openAccess
Abstract
Mühendislik ve ekonomik problemlerin çözümünde sıklıkla kullanılan Yapay Sinir Ağları (YSA)'nın bir alt kolu olan Öz Örgütlenmeli Haritalar (ÖÖH) yöntemi; çok parametreli durumları iki boyutlu (2D) haritalara indirgeyerek, duruma etki eden parametrelerin birbirleri ile olan ilişkilerini görsel olarak sunmaktadır. Bu çalışma; daha önce İskenderun Körfezi'nden elde edilen Orfoz (Ephinephelus marginatus)'ların; mevsimsel olarak boy, ağırlık ve parazitlenme (Nematod, Cestod, İsopod) ilişkilerinin; ÖÖH kullanılarak (2D haritalara indirgenmesi), yeniden değerlendirilmesine dayanmaktadır
Self Organizing Map (SOM), which is widely used in economics and engineering applications, is a type of artificial neural network trained without supervision. SOM is used to represent multidimensional data in much lower dimensional spaces –usually in two dimensions (2D)-, while preserving the topological properties of the input space. In this study, re-evaluated by using SOM (2D maps) to display the relationship between length, weight and infestation (with Nematoda Cestoda, Isopoda) of dusky groupers (Ephinephelus marginatus) Lowe 1834, seasonally.
Self Organizing Map (SOM), which is widely used in economics and engineering applications, is a type of artificial neural network trained without supervision. SOM is used to represent multidimensional data in much lower dimensional spaces –usually in two dimensions (2D)-, while preserving the topological properties of the input space. In this study, re-evaluated by using SOM (2D maps) to display the relationship between length, weight and infestation (with Nematoda Cestoda, Isopoda) of dusky groupers (Ephinephelus marginatus) Lowe 1834, seasonally.
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Journal of FisheriesSciences.com
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Volume
2
Issue
4
