Enhancing Cross-Correlation Analysis with Artificial Neural Networks for Nuclear Power Plant Feedwater Flow Measurement

ISSN： 0922-6443

Source： Real-Time Systems, Vol.27, Iss.1, 2004-05, pp. : 85-96

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Hierarchical Method Based on Artificial Neural Networks for Power Output Prediction of a Combined Cycle Power Plant

International Journal of Monitoring and Surveillance Technologies Research (IJMSTR), Vol. 4, Iss. 4, 2016-10 ,pp. : 20-32

IGI Global_journal

Access to resources Recommend Favorite

Analysis of Fault Tolerance in Artificial Neural Networks

By Piuri V.

Journal of Parallel and Distributed Computing, Vol. 61, Iss. 1, 2001-01 ,pp. : 18-48

Academic Press

Access to resources Recommend Favorite

Prediction of power output of a coal-fired power plant by artificial neural network

By Smrekar J. Pandit D. Fast M. Assadi M. De Sudipta

Neural Computing & Applications, Vol. 19, Iss. 5, 2010-07 ,pp. : 725-740

Springer Publishing Company

Access to resources Recommend Favorite

Application of Artificial Neural Networks to Reliable Nuclear Data for Nonproliferation Modeling and Simulation

International Journal of Monitoring and Surveillance Technologies Research (IJMSTR), Vol. 4, Iss. 4, 2016-10 ,pp. : 54-64

IGI Global_journal

Access to resources Recommend Favorite

Cross-correlation function combined with wavelet transform for acoustic holography scanning measurement

By Too Gee-Pinn James Wu Bo-Hsien

International Journal of Computer Applications in Technology, Vol. 36, Iss. 2, 2009-08 ,pp. : 91-99

Inderscience Publishers

Access to resources Recommend Favorite