DOĞRUSAL OLMAYAN PAR SİSTEMLER KULLANILARAK KAOTİK ZAMAN SERİSİ KESTİRİMİ

Bu çalışmada kaotik zaman serilerinin kestirimi için doğrusal olmayan polinomsal özbağlanım (polynomialautoregressive – PAR) sistemler kullanılmıştır. Bu amaçla literatürde yer alan Mackey-Glass ve Lorenz kaotiksistemlerine ait zaman serilerinin kestirimi için doğrusal olmayan PAR zaman serilerine dayalı çeşitlimatematiksel model yapıları sunulmuştur. Sunulan modellerdeki parametre değerlerinin belirlenmesi amacıylasezgisel algoritmalardan genetik algoritma (GA), diferansiyel gelişim algoritması (DGA) ve klonal seçmealgoritması (KSA), klasik algoritmalardan ise içsel en küçük kareler (recursive least square-RLS) algoritmasıuyarlanır algoritmalar olarak kullanılmış ve başarımları karşılaştırılmıştır. Benzetim sonuçlarına göre hem kaotiksistemler için sunulan matematiksel model yapıları hem de bu model yapılarına ait parametrelerin belirlenmesiiçin farklı algoritmalarla yapılan optimizasyon işlemleri oldukça başarılı olmuştur.

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Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi-Cover
  • ISSN: 1300-1884
  • Yayın Aralığı: Yılda 4 Sayı
  • Başlangıç: 1986
  • Yayıncı: Oğuzhan YILMAZ