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  • 标题:THE EFFECT OF STATISTICAL NORMALIZATION TECHNIQUES ON THE PERFORMANCE OF ARTIFICIAL NEURAL NETWORK
  • 其他标题:İSTATİKSEL NORMALİZASYON TEKNİKLERİNİN YAPAY SİNİR AĞIN PERFORMANSINA ETKİSİ
  • 本地全文:下载
  • 作者:Selahattin YAVUZ ; Selahattin YAVUZ ; Muhammet DEVECİ
  • 期刊名称:Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
  • 印刷版ISSN:1301-3688
  • 电子版ISSN:2630-6409
  • 出版年度:2012
  • 期号:40
  • 页码:167-187
  • 语种:English
  • 出版社:Erciyes University
  • 摘要:In recent years,artificial neural networks have been applied in many areas and it is one of the most commonly researched methods.Artificial Neural Network (ANN) techniques are effective for the complex and non-linear models.ANN research techniques are applied to various fields such as classification,optimization,forecasting,recognition,modeling and learning.This paper introduces basic structure and working architecture of artificial neural networks.Weather temperature has been estimated for Adana city with artificial neural networks for the application part.The various statistical normalization techniques used with by combination of learning techniques.As a conclusion,it has been shown that artificial neural networks can be used successfully to estimation future by using data normalization and learning techniques.
  • 其他摘要:Son yıllarda,yapay sinir ağları pek çok alanda uygulanan ve üzerinde en çok araştırma yapılan yöntemlerden birisidir.Yapay sinir ağ teknikleri karmaşık ve doğrusal olmayan modellerde etkilidir.YSA araştırmaları;sınıflandırma,optimizasyon,tahmin,şekil tanı
  • 关键词:Normalization;Artificial Neural Networks;Estimation
  • 其他关键词:Normalizasyon;Yapay Sinir Ağları;Tahmin
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