Multi-Sensor Information Fusion and its Application
You-Wei Li, Cuiqing Jiang · 2007
The accuracy of original data processing is one of the primary causes that lead to low reliability in detecting system. In this paper Artificial Neural Networks (ANN) is studied in order to solve this problem. Aiming at the limitation of ANN theory in multi-sensor information fusion, we propose an improved ART algorithm and use it in environmental detecting system. The experiment shows that it not only improves the reliability of the system, but also optimizes the handling of correlated information and contradictory information.