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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… 
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Papers overview

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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… 
2003
2003
Through this paper, some performance increasing methods for probabilistic neural network (PNN) are presented. These methods are… 
1998
1998
A novel technique for speaker independent automated speech recognition is proposed. We take a segment model approach to Automated… 
1997
1997
This paper introduces a vector quantisation method to reduce the probabilistic neural network classifier size. It has been… 
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… 
1992
1992
A methodology for selection of appropriate widths or covariance matrices of the Gaussian functions in implementations of PNN…