Published 1996 | Version v1
Miscellaneous

On fuzzy knowledge acquiring of nuclear monitoring using neural networks

  • 1. Institute of Chemical Defence, Beijing (China)

Description

A method using neural networks about fuzzy modeling to extract fuzzy knowledge is presented. Both constant and parameterized rules are used. The method is demonstrated by examples for effectiveness of acquiring fuzzy knowledge in nuclear monitoring

Part of:
Proceedings of 8. national conference on nuclear electronic and nuclear detection technology: Pt.2

Additional details

Publishing Information

Imprint Title
Proceedings of 8. national conference on nuclear electronic and nuclear detection technology: Pt.2
Imprint Pagination
338 p.
Journal Page Range
p. 596-599.

Conference

Title
8. national conference on nuclear electronics and nuclear detection technology.
Dates
2-7 Dec 1996.
Place
Zhuhai, GD (China).

INIS

Country of Publication
China
Country of Input or Organization
China
INIS RN
28074984
Subject category
S42: ENGINEERING;
Resource subtype / Literary indicator
Conference, Non-conventional Literature
Descriptors DEI
ALGORITHMS; DATA ACQUISITION; FUZZY LOGIC; MONITORING; NEURAL NETWORKS; NUCLEAR EXPLOSION DETECTION
Descriptors DEC
DETECTION; MATHEMATICAL LOGIC

Optional Information