A PSO based integrated functional link net and interval type-2 fuzzy logic system for predicting stock market indices

This paper presents an integrated functional link interval type-2 fuzzy neural system (FLIT2FNS) for predicting the stock market indices. The hybrid model uses a TSK (Takagi–Sugano–Kang) type fuzzy rule base that employs type-2 fuzzy sets in the antecedent parts and the outputs from the Functional L...

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Vydané v:	Applied soft computing Ročník 12; číslo 2; s. 931 - 941
Hlavní autori:	Chakravarty, S., Dash, P.K.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.02.2012
Predmet:	Backpropagation learning algorithm Functional Link Artificial Neural Network Fuzzy logic system Interval Type-2FLS Particle swarm optimization Functional Link Artificial Neural Network Interval Type-2FLS Backpropagation learning algorithm Particle swarm optimization Fuzzy logic system
ISSN:	1568-4946, 1872-9681
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