๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Rule extraction: Using neural networks or for neural networks?

โœ Scribed by Zhi-Hua Zhou

Publisher
Springer
Year
2004
Tongue
English
Weight
442 KB
Volume
19
Category
Article
ISSN
1000-9000

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

DIAGNOSTIC RULE EXTRACTION FROM TRAINED
DIAGNOSTIC RULE EXTRACTION FROM TRAINED FEEDFORWARD NEURAL NETWORKS
โœ YIMIN FAN; C.JAMES LI ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 272 KB

This paper describes a method of extracting diagnostic rules from trained diagnostic feedforward neural nets that are constructed to recognise di!erent mechanical faults using automated weight and structure learning algorithms. The rule extracting method is based on an interpretation that considers

On rule pruning using fuzzy neural netwo
On rule pruning using fuzzy neural networks
โœ Nikhil R. Pal; Tandra Pal ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 815 KB

Shann and Fu (SF) proposed a fuzzy neural network (FNN) for role pruning in a fuzzy controller. In this paper we first analyze the FNN of SF and discuss some of its limitations. SF attempted to eliminate redundant rules interpreting some of the connection weights as certainty factors of rules. In th