GMM-Based Probabilistic Neural Network PNN with Excellent Generalization Capability
The GMM-based Probabilistic Neural Network (PNN) demonstrates exceptional generalization capabilities, rapid learning efficiency, easy online updating, and is grounded in Bayesian estimation theory from statistics. It has become a highly effective tool for solving challenging classification problems such as speaker recognition, character recognition, medical image recognition, and satellite cloud pattern recognition. Notably, PNN not only inherits most advantages of GMM but also offers additional benefits including strong robustness, reduced training data requirements, and seamless integration with other networks and theories.