### 抜粋

Boiling water reactors (BWRs) represent a large fraction of the world's installed nuclear power capacity. The core model of a BWR is very complex because it has many fuel assemblies and strong axial heterogeneities such as coolant voiding, partial control rod insertion, and non-uniform fuel assembly design. In order to operate a BWR safely, it is necessary to supervise the performance of the reactor core during the operation cycle. Therefore, the operation of the reactor core in a BWR is supervised using a 3-dimensional on-line simulator. In order to raise the calculation accuracy of this 3-dimensional simulator, the calculation power distribution is corrected using the neutron flux distribution obtained by the in-core instrumentation. In this paper, a model that uses a neural network was developed in order to raise the calculation accuracy of this 3-dimensional simulator further. In order to apply a neural network to the complicated reactor core of a BWR, the learning algorithm needs to be improved. Therefore, a technique using the Quasi-Newton method for renewal of the connection weights of the Back-Propagation (BP) method was developed. Using this algorithm, the convergent ability of neural network learning was improved in the strongly nonlinear problems. When this algorithm was applied to a BWR, the calculation accuracy of a 3-dimensional simulator was improved considerably.

元の言語 | English |
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ホスト出版物のタイトル | ISIE 2002 - Proceedings of the 2002 IEEE International Symposium on Industrial Electronics |

出版者 | Institute of Electrical and Electronics Engineers Inc. |

ページ | 294-298 |

ページ数 | 5 |

ISBN（印刷物） | 0780373693, 9780780373693 |

出版物ステータス | Published - 2002 1 1 |

イベント | 2002 IEEE International Symposium on Industrial Electronics, ISIE 2002 - L'Aquila, Italy 継続期間: 2002 7 8 → 2002 7 11 |

### 出版物シリーズ

名前 | IEEE International Symposium on Industrial Electronics |
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巻 | 1 |

### Other

Other | 2002 IEEE International Symposium on Industrial Electronics, ISIE 2002 |
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国 | Italy |

市 | L'Aquila |

期間 | 02/7/8 → 02/7/11 |

### ASJC Scopus subject areas

- Electrical and Electronic Engineering
- Control and Systems Engineering

## フィンガープリント Improvement of the accuracy of a 3-dimensional simulator of a BWR using a neural network' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

## これを引用

*ISIE 2002 - Proceedings of the 2002 IEEE International Symposium on Industrial Electronics*(pp. 294-298). [1026081] (IEEE International Symposium on Industrial Electronics; 巻数 1). Institute of Electrical and Electronics Engineers Inc..