Neural Networks for Time Series Forecasting: Practical Implications of Theoretical Results.

Research on using autoregressive neural networks to forecast nonlinear time series has produced mixed results. While neural networks have been established as universal approximators, large-scale studies comparing neural network forecasts with simpler models have rarely shown better performance for t...

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Bibliographic Details
Main Author: Thielbar, Melinda F.
Published: North Carolina State University.
Subjects:
Online Access:http://thesis.lib.nccu.edu.tw/cgi-bin/cdrfb3/gsweb.cgi?o=dstdcdr&i=sid=%22U0003463832%22.

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