Pre-processing inputs for optimally-configured time-delay neural networks

Date

2005-02-01

Author

Taşkaya Temizel, Tuğba
Casey, MC
Ahmad, K

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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

Collections

Graduate School of Informatics, Article