Time-series prediction by answer-in-weights neural network consisting of three fluctuation estimators

被引：0

作者：

Kanada, H ^{[1
]}

Suwamoto, O ^{[1
]}

Ogawa, T ^{[1
]}

机构：

[1] Takushoku Univ, Dept Elect & Comp Syst, Hachioji, Tokyo 1930985, Japan

来源：

SICE 2002: PROCEEDINGS OF THE 41ST SICE ANNUAL CONFERENCE, VOLS 1-5 | 2002年

关键词：

neural network; prediction problem; time-series data;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In time-series data prediction, periodic and long-term componerts are often separately handled in a pre-divided form We have investigated a neural network model that can identify the two parts, simultaneously The model consists of two parts of the network arranged in the answer-in-weights structure In this report, we propose to use an answer-in-weights network consisting of three component estimators. To show the effectiveness of the network we perform computer simulation on economic data As the result, we confirm the effectiveness of using the answer-in-weights neural network for time-series production.

引用

页码：2686 / 2689

页数：4

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