PNN, also known as Probabilistic Neural Network, was initially proposed by mathematician Specht in 1990 and subsequently refined by researchers including Master [1995]. This network architecture has been successfully applied across multiple domains including machine learning, artificial intelligence, and automatic control systems. Compared to multi-layer feedforward networks, PNN demonstrates simpler mathematical principles and easier implementation through its probability density function estimation approach using Parzen windows and radial basis functions.
MATLAB
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