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Title: Adaptive sensor fusion using genetic algorithms

Conference ·
OSTI ID:10170099

Past attempts at sensor fusion have used some form of Boolean logic to combine the sensor information. As an alteniative, an adaptive ``fuzzy`` sensor fusion technique is described in this paper. This technique exploits the robust capabilities of fuzzy logic in the decision process as well as the optimization features of the genetic algorithm. This paper presents a brief background on fuzzy logic and genetic algorithms and how they are used in an online implementation of adaptive sensor fusion.

Research Organization:
Sandia National Labs., Albuquerque, NM (United States)
Sponsoring Organization:
USDOE, Washington, DC (United States)
DOE Contract Number:
AC04-94AL85000
OSTI ID:
10170099
Report Number(s):
SAND-94-1157C; CONF-940748-29; ON: DE94015788; BR: GB0103012; TRN: 94:016590
Resource Relation:
Conference: 35. annual meeting of the Institute of Nuclear Materials Management (INMM),Naples, FL (United States),17-20 Jul 1994; Other Information: PBD: [1994]
Country of Publication:
United States
Language:
English

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