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Data-driven fuzzy models for nonlinear identification of a complex heat exchanger

✍ Scribed by Hacene Habbi; Madjid Kidouche; Mimoun Zelmat

Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
741 KB
Volume
35
Category
Article
ISSN
0307-904X

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## Abstract A hybrid model that blends two non‐linear data‐driven models, i.e. an artificial neural network (ANN) and a moving block bootstrap (MBB), is proposed for modelling annual streamflows of rivers that exhibit complex dependence. In the proposed model, the annual streamflows are modelled in