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Yapay Zeka Hızlı Bakış & Çıkarımlar
AI Insight⚡ TL;DR(1 Cümlede Hızlı Çıkarım)
The method uses the target function’s image under a cubic transformation for High Dimensional Model Representation (HDMR) instead of the function’s itself
📌 3 Maddede Bu Makale
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Amaç & Hipotez:This work focuses on the development of a multivariate function approximating method by using cubic Transformational High Dimensional Model Representation (THDMR).
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Temel Bulgular & Veri:This work focuses on the development of a multivariate function approximating method by using cubic Transformational High Dimensional Model Representation (THDMR).
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Sonuç & Katkı:The method uses the target function’s image under a cubic transformation for High Dimensional Model Representation (HDMR) instead of the function’s itself
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Cubic Equation · Transformational High Dimensional Model Representation · Multivariate Functions
Abstract
This work focuses on the development of a multivariate function approximating method by using cubic Transformational High Dimensional Model Representation (THDMR). The method uses the target function’s image under a cubic transformation for High Dimensional Model Representation (HDMR) instead of the function’s itself
Anahtar kelimeler
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Bu Makaleye Atıf Yap
ŞEN, E., ORUÇOĞLU, K. (2016). Cubic Transformational High Dimensional Model Representation. TOJSAT, Cilt: 2 Sayı: 4, 5–10. https://ajindex.com/articles/1008272