A NEURO-FUZZY MODEL APPLIED TO FULL RANGE SIGNAL VALIDATION OF PWR NUCLEAR POWER PLANT DATA-Reference-Cited by-同舟云学术

A NEURO-FUZZY MODEL APPLIED TO FULL RANGE SIGNAL VALIDATION OF PWR NUCLEAR POWER PLANT DATA

Published:2000-01 Issue:2 Volume:29 Page:305-320
ISSN:0308-1079
Container-title:International Journal of General Systems
language:en
Short-container-title:International Journal of General Systems

Author:

FANTONI P.F.

Publisher

Informa UK Limited

Subject

Computer Science Applications,Modelling and Simulation,Information Systems,Theoretical Computer Science,Control and Systems Engineering

Link

http://www.tandfonline.com/doi/pdf/10.1080/03081070008960935

Reference7 articles.

1. P.F. Fantoni , S. Figedy , A. Racz , ( 1998 ). “ PEANO. A toolboi for real-time process signal validation and estimation ” OECD Halden Reactor Project Report HWR-515 .

2. Pattern Recognition with Fuzzy Objective Function Algorithms

3. A possibilistic approach to clustering

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