ANNs for pattern recognition with multi-valued（MV） and multi-thresholded（MT） transfer function as neurons’ nonlinearities have been proposed. The function of multithresholded neurons （MTNs） lay in the fact that it partitioned the input space into several hyperplanar zones by using many thresholds in neurons’ output transfer function

it also marked these different zones with different output values as required. On the basis of these neurons

the advantage of solving parity problem and specific logic problem was investigated. It had been shown that only one neuron was needed to solve N-bit parity problem or to perform arbitrary logic function.Therefore

it was especially suitable for pattern recognition and classification. The combination of MTNs was also investigated. It was found that two MTNs may result in the multiplication of threshold number of combined net.