DocumentCode :
327666
Title :
A pattern matching tool for time-series forecasting
Author :
Singh, Sameer ; Stuart, Elizabeth
Author_Institution :
Sch. of Comput., Univ. of Plymouth, UK
Volume :
1
fYear :
1998
fDate :
16-20 Aug 1998
Firstpage :
103
Abstract :
We describe a pattern recognition based tool for forecasting. We compare the results of forecasting with this tool against the exponential smoothing method on Santa Fe series data and US financial index. The results show that the pattern recognition based tool is highly accurate on standard error measures
Keywords :
forecasting theory; pattern matching; time series; Santa Fe series data; US financial index; exponential smoothing method; pattern matching tool; standard error measures; time-series forecasting; Error correction; Identity-based encryption; Iron; Measurement standards; Multi-layer neural network; Neural networks; Pattern matching; Recurrent neural networks; Smoothing methods; Time series analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
ISSN :
1051-4651
Print_ISBN :
0-8186-8512-3
Type :
conf
DOI :
10.1109/ICPR.1998.711090
Filename :
711090
Link To Document :
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