๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

System reliability forecasting by support vector machines with genetic algorithms

โœ Scribed by Ping-Feng Pai


Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
601 KB
Volume
43
Category
Article
ISSN
0895-7177

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


FAULT DETECTION USING SUPPORT VECTOR MAC
โœ L.B. JACK; A.K. NANDI ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 196 KB

Artificial neural networks (ANNs) have been used to detect faults in rotating machinery for a number of years, using statistical methods to preprocess the vibration signals as input features. ANNs have been shown to be highly successful in this type of application; in comparison, support vector mach

Optimal interval design for system relia
โœ Takao Yokota; Mitsuo Gen ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 240 KB ๐Ÿ‘ 2 views

In previous discussions about product quality assurance, reliability has been considered a definitive value. In realistic optimal design for system reliability, however, we are required to handle interval data with specified reliability, as in the case of quality accuracy. This paper discusses an in