Synapse weight accuracy of analog neuro chip

This paper presents experimental results concerning the influence of synapse weight accuracy and the number of hidden layer neurons during learning for analog neuro chip. A simplified problem of distinguishing the letters T and C was adapted for this purpose. Convergency property is more sensitive to the number of hidden layer neurons than synapse weight accuracy. A solution of synapse weight values does not require such high accuracy as synapse weights require during the learning process. These experimental results provide information significant for design of large-scale network size neural network chips.