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A study on input functions of answer-in-weights neural network for time-series prediction

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3 Author(s)
H. Kanada ; Dept. of Electron. & Comput. Syst., Takushoku Univ., Tokyo, Japan ; K. Simizu ; T. Ogawa

For time-series data prediction, we have investigated a neural network of answer-in-weights structure. For more accurate prediction, we proposed to use an answer-in-weights network consisting of three component estimators. In this paper, we study on input functions of an answer-in-weights neural network. We try to obtain the frequencies of the periodic input functions by frequency analysis of time-series data. To confirm the effectiveness of the proposed method, we make computer simulation using actual economic indicators.

Published in:

SICE 2003 Annual Conference  (Volume:1 )

Date of Conference:

4-6 Aug. 2003