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Eye diseases diagnosis by perimeter data research using complex-valued neural networks

Keywords:

A.A. Rozhentsov, A.S. Naumov, A.A. Bayev


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.
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