Intelligent Classifier Based on Radial Basis Function Network for the Task of Identification the Recurrent Laryngeal Nerve in a Surgical Wound

Abstract

The application of radial basis function networks (RBFN) for identification the recurrent laryngeal nerve (RLN) in a surgical wound was proved in this paper. The intelligent classifier based on artificial neural network with radial basis functions (RBF) was created. The task of identification the recurrent laryngeal nerve during thyroid surgery in the process of classification the information signals from different patients is considered.