Demand Forecasting Based on Differences of Demands via Neural Networks
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- ARAKI Hajime
- Osaka Prefecture University
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- KIMURA Aritoshi
- Osaka Prefecture University
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- ARIZONO Ikuo
- Osaka Prefecture University
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- OHTA Hiroshi
- Osaka Prefecture University
Bibliographic Information
- Other Title
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- 階層型ニューラルネットワークを用いた需要変動量のパターンに基づく需要予測
- カイソウガタ ニューラル ネットワーク オ モチイタ ジュヨウ ヘンドウリョウ
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Abstract
Recently, Kimura et al. proposed a demand forecasting model for the purpose of predicting the demand of a directly succeeding period based on the past demand series using layered neural networks. In this paper, as an extension of their model, we consider a demand forecasting model for the purpose of predicting simultaneously the demands of several succeeding periods. Then, we propose a predicting method via layered neural networks based on differences of demands instead of demands in their model. Moreover, the effect of using the variable slope method, which the synaptic interconnection strength and the characteristic function of units are simultaneously renewed, is also investigated.
Journal
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- Journal of Japan Industrial Management Association
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Journal of Japan Industrial Management Association 47 (2), 59-68, 1996-06-15
Japan Industrial Management Association
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Details 詳細情報について
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- CRID
- 1390001288101471616
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- NII Article ID
- 110003936769
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- NII Book ID
- AN00187973
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- ISSN
- 24329983
- 03864812
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- NDL BIB ID
- 3971331
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed