Доступ предоставлен для: Guest
Selected papers from the Second International Forum on Expert Systems and Computer Simulation in Energy Engineering
March, 17-20, 1992, Erlangen, Germany

DOI: 10.1615/ICHMT.1992.ExpSystComputSimEnergEngin


ISBN Print: 1-56700-031-2

Prediction of Nuclear Reactor Parameters Using Artificial Neural Network Models

pages 238-243
DOI: 10.1615/ICHMT.1992.ExpSystComputSimEnergEngin.380
Get accessGet access

Краткое описание

Artificial neural networks (ANNs) are applied to the prediction of nuclear reactor parameters in load following (LF) operation. The system consists of four parameter processing banks that should be monitored in the load following operation. In each bank, two types of networks using either a general multi-layer network (GMLN) or a hybrid functional-link network (HFLN) are constructed and attempted to learn or to infer signal behaviors. The overall prediction results are agreed well with actual plant data except for the minor discrepancies at the nearly upper or lower bound of trained band. It also indicates that the HFLN approach performs better than the GMLN approach in the way that it uses less number of processing elements and weights, trains faster, and gives better results except for the minor difficulty of input data expansion.

Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции Цены и условия подписки Begell House Контакты Language English 中文 Русский Português German French Spain