Research on Coal Gangue On-Line Automatic Separation System Based on the Improved BP Algorithm and ARM

It is not satisfied with the increasing need day to day that the conventional digital image processing arithmetic. The BP neural network is one of the most effective means with the merits such as parallel computation, nonlinear mapping and the self-adaptation; ARM (Advanced RISC Machines) microcontroller is widely used in lots of fields with characteristics of high-performance, small volume, low power dissipation and low-cost exactly. This paper researches on coal gangue on-line automatic separation system based on the improved BP algorithm and ARM. First, the general system is introduced in brief. Then, it is the basal information on the BP neural network and the digital image processing arithmetic. It is emphasized that the digital image processing is applied with the improved BP algorithm. After then the design of the interface circuits is in detail discussed and the ARM microcontroller and last the emulation debugging figures are given. Experiments show that the design is successful. A newly means, which automatically select the gangue from the coal, is explored.