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Pre-processing inputs for optimally-configured time-delay neural networks
Date
2005-02-01
Author
Taşkaya Temizel, Tuğba
Casey, MC
Ahmad, K
Metadata
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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A procedure for pre-processing non-stationary time series is proposed for modelling with a time-delay neural network (TDNN). The procedure stabilises the mean of the series and uses a fast Fourier transform to determine the TDNN input size. Results of applying this procedure on five well-known data sets are compared with existing hybrid neural network techniques, demonstrating improved prediction performance.
Subject Keywords
Electrical and Electronic Engineering
URI
https://hdl.handle.net/11511/70043
Journal
ELECTRONICS LETTERS
DOI
https://doi.org/10.1049/el:20058016
Collections
Graduate School of Informatics, Article