書誌事項
- タイトル別名
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- Thermal Energy Storage, Heat Pump and Thermal Energy Transportation Technologies. Estimation of Quality of Petroleum Products by Neural Networks Models.
- ニューラルネットワーク オ モチイタ セキユ セイヒン セイジョウ スイテイ
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抄録
The performance of artificial neural networks on building process models for estimating the quality of petroleum products, research octane number of gasoline, boiling point of gas oil of a topping unit, and flash point of bottom product of a naphtha splitter, are examined in this study. Three types of artificial neural networks models are developed in this study ; back propagation neural network, radial basis function neural network and Wave-net. It is shown that radial basis function neural network model and back propagation neural network model are superior to the other neural networks models on building a steady state model. Wave-net is useful in building a dynamic model for time series data.
収録刊行物
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- 化学工学論文集
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化学工学論文集 24 (6), 888-893, 1998
公益社団法人 化学工学会
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詳細情報 詳細情報について
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- CRID
- 1390282679486465664
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- NII論文ID
- 10002836253
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- NII書誌ID
- AN00037234
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- COI
- 1:CAS:528:DyaK1cXnsFaksrk%3D
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- ISSN
- 13499203
- 0386216X
- http://id.crossref.org/issn/0386216X
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- NDL書誌ID
- 4600117
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可