Spatial modeling of long-term air temperatures for sustainability: evolutionary fuzzy approach and neuro-fuzzy methods

Spatial modeling of long-term air temperatures for sustainability: evolutionary fuzzy approach and neuro-fuzzy methods

This paper investigates the capabilities of the evolutionary fuzzy genetic (FG) approach and compares it with three neuro-fuzzy methods—neuro-fuzzy with grid partitioning (ANFIS-GP), neuro-fuzzy with subtractive clustering (ANFIS-SC), and neuro-fuzzy with fuzzy c-means clustering (ANFIS-FCM)—in term...

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Bibliographic Details
Main Authors: Abolghasem Sadeghi-Niaraki, Ozgur Kisi, Soo-Mi Choi
Format: Article
Language:English
Published: PeerJ Inc. 2020-08-01
Series:PeerJ
Subjects:
Long-term air temperature
Estimation
Evolutionary fuzzy
Neuro-fuzzy
GIS
Online Access:https://peerj.com/articles/8882.pdf

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