Data processing method of neural network processor and neural network processor

The invention provides a data processing method of a neural network processor and a neural network processor. The method includes the following steps that: input data and corresponding weight absolute values are added together through an adder, wherein the input data are data of the output of a previous stage, and the input data and the weight absolute values are n-element vectors; and n-term data obtained after adding the input data and the corresponding weight absolute values together are subjected to n times of first nonlinear mapping; results obtained after the first nonlinear mapping are subjected to n times of accumulation operation through an accumulator, wherein the accumulation operation includes weight sign bit-controlled adding operation and subtraction operation; and a result obtained after the n times of accumulation operation is subjected to second nonlinear mapping, so that a processing result can be obtained, and data output is carried out, wherein the second nonlinear mapping is formulated ac