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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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Related topics

Related topics

6 relations
Artificial neural networkBayesian networkFeedforward neural networkMultilayer perceptron

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Do we need hundreds of classifiers to solve real world classification problems?
We evaluate 179 classifiers arising from 17 families (discriminant analysis, Bayesian, neural networks, support vector machines… 
Highly Cited
2013
Highly Cited
2013
Estimation of Battery State of Health Using Probabilistic Neural Network
In this study, a probabilistic neural network (PNN) is used to estimate the state of health (SOH) of Li-ion batteries. The… 
Highly Cited
2010
Highly Cited
2010
Enhanced probabilistic neural network with local decision circles: A robust classifier
In recent years the Probabilistic Neural Network (PPN) has been used in a large number of applications due to its simplicity and… 
Highly Cited
2009
Highly Cited
2009
Detection and classification of power quality disturbances using S-Transform and probabilistic neural network
This paper presents an S-Transform based probabilistic neural network (PNN) classifier for recognition of power quality (PQ… 
Highly Cited
2008
Highly Cited
2008
Detection and Classification of Power Quality Disturbances Using S-Transform and Probabilistic Neural Network
This paper presents an S-Transform based probabilistic neural network (PNN) classifier for recognition of power quality (PQ… 
Highly Cited
2007
Highly Cited
2007
A Leaf Recognition Algorithm for Plant Classification Using Probabilistic Neural Network
In this paper, we employ probabilistic neural network (PNN) with image and data processing techniques to implement a general… 
Highly Cited
2005
Highly Cited
2005
Hierarchical Probabilistic Neural Network Language Model
In recent years, variants of a neural network architecture for statistical language modeling have been proposed and successfully… 
Highly Cited
2004
Highly Cited
2004
Wavelet-based neural network for power disturbance recognition and classification
In this paper, a prototype wavelet-based neural-network classifier for recognizing power-quality disturbances is implemented and… 
Highly Cited
1999
Highly Cited
1999
Radial Basis Probabilistic Neural Networks: Model and Application
This paper investigates the capabilities of radial basis function networks (RBFN) and kernel neural networks (KNN), i.e. a… 
Highly Cited
1990
Highly Cited
1990
Probabilistic neural networks
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