Design of Multi-parameter Fusion Coulometer Based on Self-feedback BP Network

BP network has a memory function of historical data due to adding local self-feedback on some nodes of it. The improved local self-feedback BP network can solve dynamic mapping and process historical data. The multi-information fusion algorithm can be achieved by using this local self-feedback BP network, which can also be applied to detect the battery power. The embedded microprocessor and the corresponding sensors realize the hardware circuit design. The training and algorithmic design of local self-feedback BP network can be achieved by embedded systems programming based on the portable operating system. Experiments show that multi-parameter fusion coulometer based on local self-feedback BP network has the high detection accuracy.