Multi-segment linear fitting neuron circuit implementation method based on FPGA (Field Programmable Gate Array) technology

The invention discloses a multi-section linear fitting neuron circuit implementation method based on an FPGA (Field Programmable Gate Array) technology, which comprises the following steps of: firstly, processing a function according to parity and a value range of a hyperbolic tangent function in combination with a multi-section linear fitting algorithm, then designing and solving a neuron circuit module, and carrying out simulation verification on implementability through software; and finally, burning the program to an FPGA observation oscilloscope to be consistent with simulation verification. According to the invention, a multi-segment linear fitting algorithm which is low in resource consumption, high in speed and high in precision is used for generating high-precision periodic signals and chaotic signals on the FPGA, and the abnormal discharge behavior of the FHN neuron circuit can be observed on hardware equipment more visually. According to the method, a brand new method is provided for the FPGA to ge