Study on an Information Fusion Method Based on Information Entropy and Wavelet Neural Network

The information entropy analysis method is used in information fusion processing, information entropy description model and appraisal criterion which can realize auto-organization dynamic optimization of multi-source information fusion processing are established; Simultaneously, wavelet neural network model which can realize information fusion and decision-making is designed, corresponding network architecture and optimization learning algorithm which can rapidly and effectively complete information fusion and decision-making are studied. The validity of the method is shown by fusing and decision-making measured data of rotor system.