Intelligent Multisensor State Information Fusion with a Stochastic, Fuzzy, Neural Network

Abstract The intelligent multisensor state information fusion based on a new stochastic, fuzzy, neural network is investigated. This network carries out the parameter and structure learning to obtain the optimal fuzzy membership functions and the optimal number of fuzzy rules of stochastic dynamic systems. The state information fusion with radar and infrared sensors based on the network is simulated in an uncertain environment. The numerical results show that the proposed intelligent method is effective and superior to fuzzy neural network based method