Inside structure main neuron in self-routing analog-digital converter based on neural network

In this article inside structure of self-routing analog-digital converter (ADC) based on neural network main neuron is described. Self-routing ADC and two-layers neural network structures are quoted for understanding of main neuron place. Work of ADC is three stages: creation of individual ADC for input signal, analog-digital conversation and destruction individual ADC. Main neuron is the elementary single-digit ADC inclusive monitoring system and part of distributed control system. When neurons are united, location in individual ADC defines «weight» of main neuron and distributed control system is full functionality and synchronized work of individual ADC in the second stage. Analog-to-digital conversation is happened by bit-by-bit method, every digit needs two clock rate. Monitoring system determine main neuron status when it is free or working in individual ADC. Control system solves main neuron aptitude usage in neural network with the help this status, it is basis for ADC fault tolerance.