Research on the Sensor Information Processing Method Based on Artificial Neural Network

With the development of theory and technology, sensor types for the use of intelligent systems is increasing constantly, constantly improve the performance, the structure becomes more and more sophisticated, how to deal with a variety of sensor information becomes more and more important. Multi sensor information fusion technology in industrial robots, military, aerospace, multi-target tracking, inertial navigation and remote sensing has a broad application prospect, has an extremely important significance for promoting the development of intelligent system. Information fusion is an emerging technology, which provides an advanced and reliable method for solving information processing and decision-making in the information age. With the advent of the Internet age and the rise of knowledge economy, information fusion has become a common concern of high-tech industries such as national defense engineering, industrial control, economic and social decision-making. The development of information fusion theory and technology application has been urgent. In this paper, an artificial neural network algorithm is used to study the sensor information fusion technology. A model based on multi-sensor information fusion is designed. The fusion algorithm is based on artificial neural network. The simulation results show that the accuracy of the algorithm is great Improve, and the speed of convergence of the network significantly accelerated, the monitoring effect is ideal.