The Algorithm of CFNN Image Data Fusion in Multi-sensor Data Fusion

CFNN hybrid system in Multi-sensor data fusion introduced fuzzy logic reasoning and neural network adaptive, self-learning ability, and using fuzzy neurons, so networking skills appropriate to adjust the input and output fuzzy membership function, and can dynamically optimize fuzzy reasoning in global by means of compensated logic algorithm, to make the network more fault tolerance, stability and speed up training. This paper introduces a mathematical model of the image data fusion, and elaborates CFNN image data fusion algorithms, simulation results show that this method can significantly improve the quality of the image data fusion, data fusion with other existing algorithms have a very significant effect