Research on AIN Applied to Information Fusion

Abstract

Information fusion technology is a new method to integrate and manage multi-sensor data in order to obtain a more accurate detection or identification. With the improvement of intelligent level of modern technology, information fusion will become the inevitable choice of modern detection and identification technology. But how to integrate these multi-sources data together to obtain better results in pattern recognition area still remains a difficult problem. In this paper, a new information fusion algorithm is provided based on artificial immune network (AIN). Though there are many researches on using AIN as a clustering analysis method, there is no report about using AIN as an information fusion algorithm. The key techniques of detection and identification are clustering analysis and classification, and AIN can do these works well, so we suppose it possible and promising to use AIN as an information fusion algorithm. In this paper, a preliminary attempt is given, and the results of two experiments show that this attempt is practicable and effective.