Title :
Some computational approaches for situation assessment and impact assessment
Author :
Hinman, Michael L.
Author_Institution :
IFEA, Air Force Res. Lab., Rome, Italy
Abstract :
This paper will provide an overview of several research efforts in the area of Information Fusion being conducted at the Fusion Technology Branch, Air Force Research Laboratory. It will describe a series of innovative approaches of traditional fusion algorithms and heuristic reasoning techniques to improve situational assessment and threat prediction. Approaches discussed include Bayesian techniques, knowledge based approaches, artificial neural systems (neural networks), fuzzy logic, and genetic algorithms.
Keywords :
fuzzy logic; genetic algorithms; military computing; neural nets; sensor fusion; Bayesian techniques; artificial neural systems; computational approaches; fuzzy logic; genetic algorithms; heuristic reasoning; impact assessment; knowledge based approaches; situation assessment; threat prediction; Artificial neural networks; Bayesian methods; Fuzzy logic; Genetic algorithms; Heuristic algorithms; Information analysis; Laboratories; Military computing; Signal processing; State estimation;
Conference_Titel :
Information Fusion, 2002. Proceedings of the Fifth International Conference on
Conference_Location :
Annapolis, MD, USA
Print_ISBN :
0-9721844-1-4
DOI :
10.1109/ICIF.2002.1021221