A novel switched-current Hamming neural network for pattern recognition is firstly proud. The calculating circuit for template matching is composed of current mirrors. Then levels of matching are compared in the switched-current sorter based on magnitude and the results are outputted.The pro-Hamming network is able to output all of levels of matching and stand patterns corresponding to these levels according to magnitude of levels. On the other hand

this network could realize the absolute rejection and relative rejection. This improves the reliability of the system. The structure of this network is simple

flexible and its scale can be easily extended. PSPICE simulation shows that the network has high resolution and high precision. Since switched-current structure is employed

this network is able to be directly fabricated in a standard digital CMOS process and easily implemented in VLSI technology.