Efficient stock price prediction using a Self Evolving Recurrent Neuro-Fuzzy Inference System optimized through a Modified Differential Harmony Search Technique

Published 2016 View Full Article

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Title
Efficient stock price prediction using a Self Evolving Recurrent Neuro-Fuzzy Inference System optimized through a Modified Differential Harmony Search Technique
Authors
Keywords
Recurrent network, Functional Link Artificial Neural Network (FLANN), Artificial Nero Fuzzy Inference System (ANFIS), Harmony search (HS), Differential Evolution (DE), Differential Harmony Search (DHS)
Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 52, Issue -, Pages 75-90
Publisher
Elsevier BV
Online
2016-01-20
DOI
10.1016/j.eswa.2016.01.016

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