Fast Training Algorithms for Deep Convolutional Fuzzy Systems With Application to Stock Index Prediction

A deep convolutional fuzzy system (DCFS) on a high-dimensional input space is a multilayer connection of many low-dimensional fuzzy systems, where the input variables to the low-dimensional fuzzy systems are selected through a moving window across the input spaces of the layers. To design the DCFS b...

Celý popis

Podrobná bibliografie

Vydáno v:	IEEE transactions on fuzzy systems Ročník 28; číslo 7; s. 1301 - 1314
Hlavní autor:	Wang, Li-Xin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.07.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Computational modeling Datasets Deep learning Fuzzy sets Fuzzy systems hierarchical fuzzy systems Input variables Multilayers Prediction algorithms stock index prediction Stock market indexes Training Wang–Mendel (WM) method Windows
ISSN:	1063-6706, 1941-0034
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!