Skip to search formSkip to main contentSkip to account menu

Probabilistic neural network

A probabilistic neural network (PNN) is a feedforward neural network, which was derived from the Bayesian network and a statistical algorithm called… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
With the development of the Internet, the Intrusion Detection has been gradually playing a more and more important role in… 
2010
2010
Probabilistic Neural Network has been considered as providing superior performance for neural decoding. However, the huge… 
2006
2006
The progress of research in probabilistic neural network (PNN) and related issues is straight related to directly compare the… 
2006
2006
A well-known and widely used model for classification and prediction is the Probabilistic Neural Network (PNN). PNN’s performance… 
Highly Cited
2005
Highly Cited
2005
In this paper, a novel shape recognition method based on radial basis probabilistic neural network (RBPNN) is proposed. The… 
Highly Cited
2003
Highly Cited
2003
Automation of power system fault identification using information conveyed by the wavelet analysis of power system transients is… 
1996
1996
This paper proposes a new neural network model called radial basis probabilistic neural network (RBPNN) based on the radial basis… 
1992
1992
Two new probabilistic neural-network-based maximum-likelihood classifiers are presented. These classifiers are based on Gram… 
1992
1992
The Boltzmann machine is a probabilistic neural network describing the associative dependency of variables. It yields a…