Optimizing Adaptive Neuro Fuzzy Inference System (ANFIS) parameters using Cuckoo Search (Case study of world crude oil price estimation)

There are some methods that have found for estimating data and one of them is Adaptive Neuro Fuzzy Inference System (ANFIS). In estimation using ANFIS, there are some initial parameters such as premise parameters (nonlinear) and consequent parameters (linear) which should be fixed to be trained forw...

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Veröffentlicht in:	Journal of physics. Conference series 2021-03, Vol.1836 (1), p.12041
Hauptverfasser:	Anshori, M Y, Rahmalia, D, Herlambang, T, Karya, D F
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive systems Artificial neural networks Case studies Crude oil Crude oil prices Eggs Fuzzy logic Inference Optimization Parameter estimation Physics Search methods
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