PATIENT'S EYESIGHT DIAGNOSTIC SYSTEM BY PERIMETER PICTURE BASED ON COMPLEX-VALUED NEURAL NETWORK
An approach to the eye diseases diagnosis based on its perimeter picture recognition, which is considered as a flat group point object represented in complex plane, is proposed in this paper. Diagnosis is carried out using a complex-valued neural network model. The results of the recognition characteristics study of represented neural network model are provided.