MLANS neural network for sensor fusion

Information fusion from multiple sources is an increasingly important area of research and application. This problem is often complicated by various sensors having different limitations and fields of view. Further complications result from the absence of prior knowledge. In addition to fusing diverse information, it is also necessary to manage multiple sensors with various limitations efficiently for optimal overall system performance. We have solved this set of problems using the MLANS neural network that employs model based approach and fuzzy decision logic